Skip to content

O
opencv
Commit a7036d96 authored by Elena Gvozdeva's avatar Elena Gvozdeva
Browse files
Options

changed support for 3-channels, changed CCOEFF

parent 04628d77
Hide whitespace changes
Inline Side-by-side
Showing with 86 additions and 208 deletions
modules/imgproc/src/opencl/match_template.cl
View file @ a7036d96
......@@ -330,42 +330,18 @@ __kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int
if (x < dst_cols && y < dst_rows)
{
__global ELEM_TYPE* sum = (__global ELEM_TYPE*)(src_sums);
__global const T* sum = (__global const T*)(src_sums + mad24(y, src_sums_step, mad24(x, (int)sizeof(T), src_sums_offset)));
src_sums_step /= ELEM_SIZE;
src_sums_offset /= ELEM_SIZE;
float image_sum_ = (float)((sum[SUMS_PTR(template_cols, template_rows)] - sum[SUMS_PTR(template_cols, 0)])-
(sum[SUMS_PTR(0, template_rows)] - sum[SUMS_PTR(0, 0)])) * template_sum;
int step = src_sums_step/(int)sizeof(T);
int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
__global float * dstult = (__global float *)(dst + dst_idx);
*dstult -= image_sum_;
}
}
#elif cn == 2
__kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int src_sums_step, int src_sums_offset,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
int template_rows, int template_cols, float template_sum_0, float template_sum_1)
{
int x = get_global_id(0);
int y = get_global_id(1);
if (x < dst_cols && y < dst_rows)
{
src_sums_step /= ELEM_SIZE;
src_sums_offset /= ELEM_SIZE;
T image_sum = (T)(0), value;
__global ELEM_TYPE* sum = (__global ELEM_TYPE*)(src_sums);
float image_sum_ = template_sum_0 * (float)((sum[SUMS_PTR(template_cols, template_rows)] - sum[SUMS_PTR(template_cols, 0)]) -(sum[SUMS_PTR(0, template_rows)] - sum[SUMS_PTR(0, 0)]));
image_sum_ += template_sum_1 * (float)((sum[SUMS_PTR(template_cols, template_rows)+1] - sum[SUMS_PTR(template_cols, 0)+1])-(sum[SUMS_PTR(0, template_rows)+1] - sum[SUMS_PTR(0, 0)+1]));
value = (T)(sum[mad24(template_rows, step, template_cols)] - sum[mad24(template_rows, step, 0)] - sum[template_cols] + sum[0]);
image_sum = mad(value, template_sum , image_sum);
int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
__global float * dstult = (__global float *)(dst+dst_idx);
*dstult -= image_sum_;
*(__global float *)(dst + dst_idx) -= convertToDT(image_sum);
}
}
......@@ -373,62 +349,61 @@ __kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int
__kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int src_sums_step, int src_sums_offset,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
int template_rows, int template_cols, float template_sum_0, float template_sum_1, float template_sum_2)
int template_rows, int template_cols, float4 template_sum)
{
int x = get_global_id(0);
int y = get_global_id(1);
if (x < dst_cols && y < dst_rows)
{
src_sums_step /= ELEM_SIZE;
src_sums_offset /= ELEM_SIZE;
T image_sum = (T)(0), value, temp_sum;
__global ELEM_TYPE* sum = (__global ELEM_TYPE*)(src_sums);
temp_sum.x = template_sum.x;
temp_sum.y = template_sum.y;
temp_sum.z = template_sum.z;
int c_r = SUMS_PTR(template_cols, template_rows);
int c_o = SUMS_PTR(template_cols, 0);
int o_r = SUMS_PTR(0,template_rows);
int oo = SUMS_PTR(0, 0);
value = vload3(0, (__global const T1 *)(src_sums + SUMS(template_cols, template_rows)));
value -= vload3(0, (__global const T1 *)(src_sums + SUMS(0, template_rows)));
value -= vload3(0, (__global const T1 *)(src_sums + SUMS(template_cols, 0)));
value += vload3(0, (__global const T1 *)(src_sums + SUMS(0, 0)));
float image_sum_ = template_sum_0 * (float)((sum[c_r] - sum[c_o]) -(sum[o_r] - sum[oo]));
image_sum_ += template_sum_1 * (float)((sum[c_r+1] - sum[c_o+1])-(sum[o_r+1] - sum[oo+1]));
image_sum_ += template_sum_2 * (float)((sum[c_r+2] - sum[c_o+2])-(sum[o_r+2] - sum[oo+2]));
image_sum = mad(value, temp_sum , 0);
int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
__global float * dstult = (__global float *)(dst+dst_idx);
*dstult -= image_sum_;
*(__global float *)(dst + dst_idx) -= convertToDT(image_sum);
}
}
#elif cn == 4
#elif (cn==2 || cn==4)
__kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int src_sums_step, int src_sums_offset,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
int template_rows, int template_cols, float template_sum_0, float template_sum_1, float template_sum_2, float template_sum_3)
int template_rows, int template_cols, float4 template_sum)
{
int x = get_global_id(0);
int y = get_global_id(1);
if (x < dst_cols && y < dst_rows)
{
src_sums_step /= ELEM_SIZE;
src_sums_offset /= ELEM_SIZE;
__global const T* sum = (__global const T*)(src_sums + mad24(y, src_sums_step, mad24(x, (int)sizeof(T), src_sums_offset)));
__global ELEM_TYPE* sum = (__global ELEM_TYPE*)(src_sums);
int step = src_sums_step/(int)sizeof(T);
T image_sum = (T)(0), value, temp_sum;
#if cn==2
temp_sum.x = template_sum.x;
temp_sum.y = template_sum.y;
#else
temp_sum = template_sum;
#endif
int c_r = SUMS_PTR(template_cols, template_rows);
int c_o = SUMS_PTR(template_cols, 0);
int o_r = SUMS_PTR(0,template_rows);
int oo = SUMS_PTR(0, 0);
value = (sum[mad24(template_rows, step, template_cols)] - sum[mad24(template_rows, step, 0)] - sum[template_cols] + sum[0]);
float image_sum_ = template_sum_0 * (float)((sum[c_r] - sum[c_o]) -(sum[o_r] - sum[oo]));
image_sum_ += template_sum_1 * (float)((sum[c_r+1] - sum[c_o+1])-(sum[o_r+1] - sum[oo+1]));
image_sum_ += template_sum_2 * (float)((sum[c_r+2] - sum[c_o+2])-(sum[o_r+2] - sum[oo+2]));
image_sum_ += template_sum_3 * (float)((sum[c_r+3] - sum[c_o+3])-(sum[o_r+3] - sum[oo+3]));
image_sum = mad(value, temp_sum , image_sum);
int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
__global float * dstult = (__global float *)(dst+dst_idx);
*dstult -= image_sum_;
*(__global float *)(dst + dst_idx) -= convertToDT(image_sum);
}
}
......@@ -448,62 +423,24 @@ __kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int s
int x = get_global_id(0);
int y = get_global_id(1);
if (x < dst_cols && y < dst_rows)
{
src_sums_offset /= ELEM_SIZE;
src_sums_step /= ELEM_SIZE;
src_sqsums_step /= sizeof(float);
src_sqsums_offset /= sizeof(float);
__global ELEM_TYPE* sum = (__global ELEM_TYPE*)(src_sums);
__global float * sqsum = (__global float*)(src_sqsums);
float image_sum_ = (float)((sum[SUMS_PTR(t_cols, t_rows)] - sum[SUMS_PTR(t_cols, 0)]) -
(sum[SUMS_PTR(0, t_rows)] - sum[SUMS_PTR(0, 0)]));
float image_sqsum_ = (float)((sqsum[SQSUMS_PTR(t_cols, t_rows)] - sqsum[SQSUMS_PTR(t_cols, 0)]) -
(sqsum[SQSUMS_PTR(0, t_rows)] - sqsum[SQSUMS_PTR(0, 0)]));
int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
__global float * dstult = (__global float *)(dst+dst_idx);
*dstult = normAcc((*dstult) - image_sum_ * template_sum,
sqrt(template_sqsum * (image_sqsum_ - weight * image_sum_ * image_sum_)));
}
}
#elif cn == 2
__kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int src_sums_step, int src_sums_offset,
__global const uchar * src_sqsums, int src_sqsums_step, int src_sqsums_offset,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
int t_rows, int t_cols, float weight, float template_sum_0, float template_sum_1, float template_sqsum)
{
int x = get_global_id(0);
int y = get_global_id(1);
float sum_[2];
float sqsum_[2];
if (x < dst_cols && y < dst_rows)
{
src_sums_offset /= ELEM_SIZE;
src_sums_step /= ELEM_SIZE;
src_sqsums_step /= sizeof(float);
src_sqsums_offset /= sizeof(float);
int step = src_sums_step/(int)sizeof(T);
__global ELEM_TYPE* sum = (__global ELEM_TYPE*)(src_sums);
__global float * sqsum = (__global float*)(src_sqsums);
__global const T* sum = (__global const T*)(src_sums + mad24(y, src_sums_step, mad24(x, (int)sizeof(T), src_sums_offset)));
__global const T* sqsum = (__global const T*)(src_sqsums + mad24(y, src_sqsums_step, mad24(x, (int)sizeof(T), src_sqsums_offset)));
sum_[0] = (float)((sum[SUMS_PTR(t_cols, t_rows)] - sum[SUMS_PTR(t_cols, 0)])-(sum[SUMS_PTR(0, t_rows)] - sum[SUMS_PTR(0, 0)]));
sum_[1] = (float)((sum[SUMS_PTR(t_cols, t_rows)+1] - sum[SUMS_PTR(t_cols, 0)+1])-(sum[SUMS_PTR(0, t_rows)+1] - sum[SUMS_PTR(0, 0)+1]));
T value_sum = sum[mad24(t_rows, step, t_cols)] - sum[mad24(t_rows, step, 0)] - sum[t_cols] + sum[0];
T value_sqsum = sqsum[mad24(t_rows, step, t_cols)] - sqsum[mad24(t_rows, step, 0)] - sqsum[t_cols] + sqsum[0];
sqsum_[0] = (float)((sqsum[SQSUMS_PTR(t_cols, t_rows)] - sqsum[SQSUMS_PTR(t_cols, 0)])-(sqsum[SQSUMS_PTR(0, t_rows)] - sqsum[SQSUMS_PTR(0, 0)]));
sqsum_[1] = (float)((sqsum[SQSUMS_PTR(t_cols, t_rows)+1] - sqsum[SQSUMS_PTR(t_cols, 0)+1])-(sqsum[SQSUMS_PTR(0, t_rows)+1] - sqsum[SQSUMS_PTR(0, 0)+1]));
float num = convertToDT(mad(value_sum, template_sum, 0));
float num = sum_[0]*template_sum_0 + sum_[1]*template_sum_1;
float denum = sqrt( template_sqsum * (sqsum_[0] - weight * sum_[0]* sum_[0] +
sqsum_[1] - weight * sum_[1]* sum_[1]));
value_sqsum -= weight * value_sum * value_sum;
float denum = sqrt(mad(template_sqsum, convertToDT(value_sqsum), 0));
int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
__global float * dstult = (__global float *)(dst+dst_idx);
......@@ -516,49 +453,35 @@ __kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int s
__kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int src_sums_step, int src_sums_offset,
__global const uchar * src_sqsums, int src_sqsums_step, int src_sqsums_offset,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
int t_rows, int t_cols, float weight, float template_sum_0, float template_sum_1, float template_sum_2,
float template_sqsum)
int t_rows, int t_cols, float weight, float4 template_sum, float template_sqsum)
{
int x = get_global_id(0);
int y = get_global_id(1);
float sum_[3];
float sqsum_[3];
if (x < dst_cols && y < dst_rows)
{
src_sums_offset /= ELEM_SIZE;
src_sums_step /= ELEM_SIZE;
src_sqsums_step /= sizeof(float);
src_sqsums_offset /= sizeof(float);
int step = src_sums_step/(int)sizeof(T);
__global ELEM_TYPE* sum = (__global ELEM_TYPE*)(src_sums);
__global float * sqsum = (__global float*)(src_sqsums);
T temp_sum, value_sum, value_sqsum;
int c_r = SUMS_PTR(t_cols, t_rows);
int c_o = SUMS_PTR(t_cols, 0);
int o_r = SUMS_PTR(0, t_rows);
int o_o = SUMS_PTR(0, 0);
temp_sum.x = template_sum.x;
temp_sum.y = template_sum.y;
temp_sum.z = template_sum.z;
sum_[0] = (float)((sum[c_r] - sum[c_o]) -(sum[o_r] - sum[o_o ]));
sum_[1] = (float)((sum[c_r+1] - sum[c_o+1])-(sum[o_r+1] - sum[o_o +1]));
sum_[2] = (float)((sum[c_r+2] - sum[c_o+2])-(sum[o_r+2] - sum[o_o +2]));
value_sum = vload3(0, (__global const T1 *)(src_sums + SUMS(t_cols, t_rows)));
value_sum -= vload3(0, (__global const T1 *)(src_sums + SUMS(0, t_rows)));
value_sum -= vload3(0, (__global const T1 *)(src_sums + SUMS(t_cols, 0)));
value_sum += vload3(0, (__global const T1 *)(src_sums + SUMS(0, 0)));
c_r = SQSUMS_PTR(t_cols, t_rows);
c_o = SQSUMS_PTR(t_cols, 0);
o_r = SQSUMS_PTR(0, t_rows);
o_o = SQSUMS_PTR(0, 0);
value_sqsum = vload3(0, (__global const T1 *)(src_sqsums + SQ_SUMS(t_cols, t_rows)));
value_sqsum -= vload3(0, (__global const T1 *)(src_sqsums + SQ_SUMS(0, t_rows)));
value_sqsum -= vload3(0, (__global const T1 *)(src_sqsums + SQ_SUMS(t_cols, 0)));
value_sqsum += vload3(0, (__global const T1 *)(src_sqsums + SQ_SUMS(0, 0)));
sqsum_[0] = (float)((sqsum[c_r] - sqsum[c_o]) -(sqsum[o_r] - sqsum[o_o]));
sqsum_[1] = (float)((sqsum[c_r+1] - sqsum[c_o+1])-(sqsum[o_r+1] - sqsum[o_o+1]));
sqsum_[2] = (float)((sqsum[c_r+2] - sqsum[c_o+2])-(sqsum[o_r+2] - sqsum[o_o+2]));
float num = convertToDT(mad(value_sum, temp_sum, 0));
float num = sum_[0]*template_sum_0 + sum_[1]*template_sum_1 + sum_[2]*template_sum_2;
float denum = sqrt( template_sqsum * (
sqsum_[0] - weight * sum_[0]* sum_[0] +
sqsum_[1] - weight * sum_[1]* sum_[1] +
sqsum_[2] - weight * sum_[2]* sum_[2] ));
value_sqsum -= weight * value_sum * value_sum;
float denum = sqrt(mad(template_sqsum, convertToDT(value_sqsum), 0));
int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
__global float * dstult = (__global float *)(dst+dst_idx);
......@@ -566,58 +489,39 @@ __kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int s
}
}
#elif cn == 4
#elif (cn==2 || cn==4)
__kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int src_sums_step, int src_sums_offset,
__global const uchar * src_sqsums, int src_sqsums_step, int src_sqsums_offset,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
int t_rows, int t_cols, float weight,
float template_sum_0, float template_sum_1, float template_sum_2, float template_sum_3,
float template_sqsum)
int t_rows, int t_cols, float weight, float4 template_sum, float template_sqsum)
{
int x = get_global_id(0);
int y = get_global_id(1);
float sum_[4];
float sqsum_[4];
if (x < dst_cols && y < dst_rows)
{
src_sums_offset /= ELEM_SIZE;
src_sums_step /= ELEM_SIZE;
src_sqsums_step /= sizeof(float);
src_sqsums_offset /= sizeof(float);
int step = src_sums_step/(int)sizeof(T);
__global ELEM_TYPE* sum = (__global ELEM_TYPE*)(src_sums);
__global float * sqsum = (__global float*)(src_sqsums);
T temp_sum;
int c_r = SUMS_PTR(t_cols, t_rows);
int c_o = SUMS_PTR(t_cols, 0);
int o_r = SUMS_PTR(0, t_rows);
int o_o = SUMS_PTR(0, 0);
__global const T* sum = (__global const T*)(src_sums + mad24(y, src_sums_step, mad24(x, (int)sizeof(T), src_sums_offset)));
__global const T* sqsum = (__global const T*)(src_sqsums + mad24(y, src_sqsums_step, mad24(x, (int)sizeof(T), src_sqsums_offset)));
sum_[0] = (float)((sum[c_r] - sum[c_o]) -(sum[o_r] - sum[o_o ]));
sum_[1] = (float)((sum[c_r+1] - sum[c_o+1])-(sum[o_r+1] - sum[o_o +1]));
sum_[2] = (float)((sum[c_r+2] - sum[c_o+2])-(sum[o_r+2] - sum[o_o +2]));
sum_[3] = (float)((sum[c_r+3] - sum[c_o+3])-(sum[o_r+3] - sum[o_o +3]));
T value_sum = sum[mad24(t_rows, step, t_cols)] - sum[mad24(t_rows, step, 0)] - sum[t_cols] + sum[0];
T value_sqsum = sqsum[mad24(t_rows, step, t_cols)] - sqsum[mad24(t_rows, step, 0)] - sqsum[t_cols] + sqsum[0];
c_r = SQSUMS_PTR(t_cols, t_rows);
c_o = SQSUMS_PTR(t_cols, 0);
o_r = SQSUMS_PTR(0, t_rows);
o_o = SQSUMS_PTR(0, 0);
sqsum_[0] = (float)((sqsum[c_r] - sqsum[c_o]) -(sqsum[o_r] - sqsum[o_o]));
sqsum_[1] = (float)((sqsum[c_r+1] - sqsum[c_o+1])-(sqsum[o_r+1] - sqsum[o_o+1]));
sqsum_[2] = (float)((sqsum[c_r+2] - sqsum[c_o+2])-(sqsum[o_r+2] - sqsum[o_o+2]));
sqsum_[3] = (float)((sqsum[c_r+3] - sqsum[c_o+3])-(sqsum[o_r+3] - sqsum[o_o+3]));
#if cn==2
temp_sum.x = template_sum.x;
temp_sum.y = template_sum.y;
#else
temp_sum = template_sum;
#endif
float num = sum_[0]*template_sum_0 + sum_[1]*template_sum_1 + sum_[2]*template_sum_2 + sum_[3]*template_sum_3;
float num = convertToDT(mad(value_sum, temp_sum, 0));
float denum = sqrt( template_sqsum * (
sqsum_[0] - weight * sum_[0]* sum_[0] +
sqsum_[1] - weight * sum_[1]* sum_[1] +
sqsum_[2] - weight * sum_[2]* sum_[2] +
sqsum_[3] - weight * sum_[3]* sum_[3] ));
value_sqsum -= weight * value_sum * value_sum;
float denum = sqrt(mad(template_sqsum, convertToDT(value_sqsum), 0));
int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
__global float * dstult = (__global float *)(dst+dst_idx);
......
modules/imgproc/src/templmatch.cpp
View file @ a7036d96
......@@ -202,47 +202,31 @@ static bool matchTemplate_CCOEFF(InputArray _image, InputArray _templ, OutputArr
matchTemplate(_image, _templ, _result, CV_TM_CCORR);
UMat image_sums, temp;
integral(_image, temp);
if (temp.depth() == CV_64F)
temp.convertTo(image_sums, CV_32F);
else
image_sums = temp;
integral(_image, image_sums, CV_32F);
int type = image_sums.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
ocl::Kernel k("matchTemplate_Prepared_CCOEFF", ocl::imgproc::match_template_oclsrc,
format("-D CCOEFF -D T=%s -D elem_type=%s -D cn=%d", ocl::typeToStr(type), ocl::typeToStr(depth), cn));
format("-D CCOEFF -D T=%s -D T1=%s -D cn=%d", ocl::typeToStr(type), ocl::typeToStr(depth), cn));
if (k.empty())
return false;
UMat templ = _templ.getUMat();
Size size = _image.size(), tsize = templ.size();
_result.create(size.height - templ.rows + 1, size.width - templ.cols + 1, CV_32F);
UMat templ = _templ.getUMat();
UMat result = _result.getUMat();
Size tsize = templ.size();
if (cn == 1)
if (cn==1)
{
float templ_sum = static_cast<float>(sum(_templ)[0]) / tsize.area();
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result),
templ.rows, templ.cols, templ_sum);
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, templ_sum);
}
else
{
Vec4f templ_sum = Vec4f::all(0);
templ_sum = sum(templ) / tsize.area();
if (cn == 2)
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols,
templ_sum[0], templ_sum[1]);
else if (cn==3)
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols,
templ_sum[0], templ_sum[1], templ_sum[2]);
else
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols,
templ_sum[0], templ_sum[1], templ_sum[2], templ_sum[3]);
}
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, templ_sum); }
size_t globalsize[2] = { result.cols, result.rows };
return k.run(2, globalsize, NULL, false);
......@@ -258,7 +242,7 @@ static bool matchTemplate_CCOEFF_NORMED(InputArray _image, InputArray _templ, Ou
int type = image_sums.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
ocl::Kernel k("matchTemplate_CCOEFF_NORMED", ocl::imgproc::match_template_oclsrc,
format("-D CCOEFF_NORMED -D type=%s -D elem_type=%s -D cn=%d", ocl::typeToStr(type), ocl::typeToStr(depth), cn));
format("-D CCOEFF_NORMED -D T=%s -D T1=%s -D cn=%d", ocl::typeToStr(type), ocl::typeToStr(depth), cn));
if (k.empty())
return false;
......@@ -308,19 +292,9 @@ static bool matchTemplate_CCOEFF_NORMED(InputArray _image, InputArray _templ, Ou
return true;
}
if (cn == 2)
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, scale,
templ_sum[0], templ_sum[1], templ_sqsum_sum);
else if (cn == 3)
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, scale,
templ_sum[0], templ_sum[1], templ_sum[2], templ_sqsum_sum);
else
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, scale,
templ_sum[0], templ_sum[1], templ_sum[2], templ_sum[3], templ_sqsum_sum);
}
templ_sum, templ_sqsum_sum); }
size_t globalsize[2] = { result.cols, result.rows };
return k.run(2, globalsize, NULL, false);
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment