mirror of
https://github.com/opencv/opencv.git
synced 2025-06-07 09:25:45 +08:00
feat: vectorize cv::createHanningWindow
This commit is contained in:
parent
575e3adc01
commit
780933e081
@ -38,6 +38,7 @@
|
||||
|
||||
#include "precomp.hpp"
|
||||
#include <vector>
|
||||
#include "opencv2/core/hal/intrin.hpp"
|
||||
|
||||
namespace cv
|
||||
{
|
||||
@ -614,8 +615,27 @@ void cv::createHanningWindow(OutputArray _dst, cv::Size winSize, int type)
|
||||
double* const wc = _wc.data();
|
||||
|
||||
double coeff0 = 2.0 * CV_PI / (double)(cols - 1), coeff1 = 2.0 * CV_PI / (double)(rows - 1);
|
||||
for(int j = 0; j < cols; j++)
|
||||
wc[j] = 0.5 * (1.0 - cos(coeff0 * j));
|
||||
int c = 0;
|
||||
#if CV_SIMD_64F || CV_SIMD_SCALABLE_64F
|
||||
const int nlanes32 = VTraits<v_float32>::vlanes();
|
||||
const int nlanes64 = VTraits<v_float64>::vlanes();
|
||||
const int max_nlanes = VTraits<v_float64>::max_nlanes;
|
||||
std::array<double, max_nlanes> index;
|
||||
std::iota(index.data(), index.data()+max_nlanes, 0.f);
|
||||
v_float64 vindex = vx_load(index.data());
|
||||
v_float64 delta = vx_setall_f64(VTraits<v_float64>::vlanes());
|
||||
v_float64 vcoeff0 = vx_setall_f64(coeff0);
|
||||
v_float64 one = vx_setall_f64(1.f);
|
||||
v_float64 half = vx_setall_f64(0.5f);
|
||||
for (; c <= cols - nlanes64; c += nlanes64)
|
||||
{
|
||||
v_float64 v = v_mul(half, v_sub(one, v_cos(v_mul(vcoeff0, vindex))));
|
||||
vx_store(wc + c, v);
|
||||
vindex = v_add(vindex, delta);
|
||||
}
|
||||
#endif
|
||||
for(; c < cols; c++)
|
||||
wc[c] = 0.5 * (1.0 - cos(coeff0 * c));
|
||||
|
||||
if(dst.depth() == CV_32F)
|
||||
{
|
||||
@ -623,7 +643,24 @@ void cv::createHanningWindow(OutputArray _dst, cv::Size winSize, int type)
|
||||
{
|
||||
float* dstData = dst.ptr<float>(i);
|
||||
double wr = 0.5 * (1.0 - cos(coeff1 * i));
|
||||
for(int j = 0; j < cols; j++)
|
||||
int j = 0;
|
||||
#if CV_SIMD_64F || CV_SIMD_SCALABLE_64F
|
||||
v_float64 vwr = vx_setall_f64(wr);
|
||||
for (; j < cols; j += nlanes32)
|
||||
{
|
||||
if (j > cols - nlanes32)
|
||||
{
|
||||
if (j == 0)
|
||||
break;
|
||||
j = cols - nlanes32;
|
||||
}
|
||||
|
||||
v_float64 v0 = v_mul(vwr, vx_load(wc + j));
|
||||
v_float64 v1 = v_mul(vwr, vx_load(wc + j + nlanes64));
|
||||
vx_store(dstData + j, v_cvt_f32(v0, v1));
|
||||
}
|
||||
#endif
|
||||
for(; j < cols; j++)
|
||||
dstData[j] = (float)(wr * wc[j]);
|
||||
}
|
||||
}
|
||||
@ -633,7 +670,23 @@ void cv::createHanningWindow(OutputArray _dst, cv::Size winSize, int type)
|
||||
{
|
||||
double* dstData = dst.ptr<double>(i);
|
||||
double wr = 0.5 * (1.0 - cos(coeff1 * i));
|
||||
for(int j = 0; j < cols; j++)
|
||||
int j = 0;
|
||||
#if CV_SIMD_64F || CV_SIMD_SCALABLE_64F
|
||||
v_float64 vwr = vx_setall_f64(wr);
|
||||
for (; j < cols; j += nlanes64)
|
||||
{
|
||||
if (j > cols - nlanes64)
|
||||
{
|
||||
if (j == 0)
|
||||
break;
|
||||
j = cols - nlanes64;
|
||||
}
|
||||
|
||||
v_float64 v = v_mul(vwr, vx_load(wc + j));
|
||||
vx_store(dstData + j, v);
|
||||
}
|
||||
#endif
|
||||
for(; j < cols; j++)
|
||||
dstData[j] = wr * wc[j];
|
||||
}
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user