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Optimizations to OpenCL bilateral filter.

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This commit is contained in:
Aaron Kunze
2014-03-24 13:35:56 -07:00
parent a2dec6c34e
commit ede6d4482b
3 changed files with 104 additions and 27 deletions
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59
modules/imgproc/src/opencl/bilateral.cl
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@@ -32,28 +32,79 @@
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
__kernel void bilateral(__global const uchar * src, int src_step, int src_offset,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
__constant float * color_weight, __constant float * space_weight, __constant int * space_ofs)
__constant float * space_weight, __constant int * space_ofs)
{
int x = get_global_id(0);
int y = get_global_id(1);
if (y < dst_rows && x < dst_cols)
{
int src_index = mad24(y + radius, src_step, x + radius + src_offset);
int dst_index = mad24(y, dst_step, x + dst_offset);
float sum = 0.f, wsum = 0.f;
int val0 = convert_int(src[src_index]);
#pragma unroll
for (int k = 0; k < maxk; k++ )
{
int val = convert_int(src[src_index + space_ofs[k]]);
float w = space_weight[k] * color_weight[abs(val - val0)];
float w = space_weight[k] * native_exp((float)((val - val0) * (val - val0) * gauss_color_coeff));
sum += (float)(val) * w;
wsum += w;
}
dst[dst_index] = convert_uchar_rtz(sum / wsum + 0.5f);
}
}
__kernel void bilateral_float(__global const uchar * src, int src_step, int src_offset,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
__constant float * space_weight, __constant int * space_ofs)
{
int x = get_global_id(0);
int y = get_global_id(1);
if (y < dst_rows && x < dst_cols)
{
int src_index = mad24(y + radius, src_step, x + radius + src_offset);
int dst_index = mad24(y, dst_step, x + dst_offset);
float sum = 0.f, wsum = 0.f;
float val0 = convert_float(src[src_index]);
#pragma unroll
for (int k = 0; k < maxk; k++ )
{
float val = convert_float(src[src_index + space_ofs[k]]);
float w = space_weight[k] * native_exp((val - val0) * (val - val0) * gauss_color_coeff);
sum += (float)(val) * w;
wsum += w;
}
dst[dst_index] = convert_uchar_rtz(sum / wsum + 0.5f);
}
}
__kernel void bilateral_float4(__global const uchar * src, int src_step, int src_offset,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
__constant float * space_weight, __constant int * space_ofs)
{
int x = get_global_id(0);
int y = get_global_id(1);
if (y < dst_rows && x < dst_cols / 4 )
{
int src_index = ((y + radius) * src_step) + x * 4 + (radius + src_offset);
int dst_index = (y * dst_step) + x * 4 + dst_offset ;
float4 sum = 0.f, wsum = 0.f;
float4 val0 = convert_float4(vload4(0, src + src_index));
#pragma unroll
for (int k = 0; k < maxk; k++ )
{
float4 val = convert_float4(vload4(0, src + src_index + space_ofs[k]));
float spacew = space_weight[k];
float4 w = spacew * native_exp((val - val0) * (val - val0) * gauss_color_coeff);
sum += val * w;
wsum += w;
}
sum = sum / wsum + .5f;
vstore4(convert_uchar4_rtz(sum), 0, dst + dst_index);
}
}

40
modules/imgproc/src/smooth.cpp
View File

@@ -2210,7 +2210,7 @@ static bool ocl_bilateralFilter_8u(InputArray _src, OutputArray _dst, int d,
double sigma_color, double sigma_space,
int borderType)
{
int type = _src.type(), cn = CV_MAT_CN(type);
int type = _src.type();
int i, j, maxk, radius;
if ( type != CV_8UC1 )
@@ -2237,19 +2237,14 @@ static bool ocl_bilateralFilter_8u(InputArray _src, OutputArray _dst, int d,
copyMakeBorder(src, temp, radius, radius, radius, radius, borderType);
std::vector<float> _color_weight(cn * 256);
std::vector<float> _space_weight(d * d);
std::vector<int> _space_ofs(d * d);
float *color_weight = &_color_weight[0];
float *space_weight = &_space_weight[0];
int *space_ofs = &_space_ofs[0];
// initialize color-related bilateral filter coefficients
for( i = 0; i < 256 * cn; i++ )
color_weight[i] = (float)std::exp(i * i * gauss_color_coeff);
// initialize space-related bilateral filter coefficients
for( i = -radius, maxk = 0; i <= radius; i++ )
{
for( j = -radius; j <= radius; j++ )
{
double r = std::sqrt((double)i * i + (double)j * j);
@@ -2258,26 +2253,43 @@ static bool ocl_bilateralFilter_8u(InputArray _src, OutputArray _dst, int d,
space_weight[maxk] = (float)std::exp(r * r * gauss_space_coeff);
space_ofs[maxk++] = (int)(i * temp.step + j);
}
}
ocl::Kernel k("bilateral", ocl::imgproc::bilateral_oclsrc,
format("-D radius=%d -D maxk=%d", radius, maxk));
String kernelName("bilateral");
size_t sizeDiv = 1;
if ((ocl::Device::getDefault().isIntel()) &&
(ocl::Device::getDefault().type() == ocl::Device::TYPE_GPU))
{
//Intel GPU
if (dst.cols % 4 == 0)
{
kernelName = "bilateral_float4";
sizeDiv = 4;
}
else
{
kernelName = "bilateral_float";
}
}
ocl::Kernel k(kernelName.c_str(), ocl::imgproc::bilateral_oclsrc,
format("-D radius=%d -D maxk=%d "
"-D gauss_color_coeff=%f", radius, maxk,
(float)gauss_color_coeff));
if (k.empty())
return false;
Mat mcolor_weight(1, cn * 256, CV_32FC1, color_weight);
Mat mspace_weight(1, d * d, CV_32FC1, space_weight);
Mat mspace_ofs(1, d * d, CV_32SC1, space_ofs);
UMat ucolor_weight, uspace_weight, uspace_ofs;
mcolor_weight.copyTo(ucolor_weight);
UMat uspace_weight, uspace_ofs;
mspace_weight.copyTo(uspace_weight);
mspace_ofs.copyTo(uspace_ofs);
k.args(ocl::KernelArg::ReadOnlyNoSize(temp), ocl::KernelArg::WriteOnly(dst),
ocl::KernelArg::PtrReadOnly(ucolor_weight),
ocl::KernelArg::PtrReadOnly(uspace_weight),
ocl::KernelArg::PtrReadOnly(uspace_ofs));
size_t globalsize[2] = { dst.cols, dst.rows };
size_t globalsize[2] = { dst.cols / sizeDiv, dst.rows };
return k.run(2, globalsize, NULL, false);
}