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Replace pow with std::pow

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The C pow casts to double while std::pow has overloads that can be
optimized by the compiler.
Also replace pow(*, 1./3) by cbrt.
This commit is contained in:
Vincent Rabaud
2026-01-04 01:50:00 +01:00
parent 10589eb2c8
commit 5622958189
47 changed files with 131 additions and 140 deletions
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modules/features2d/src/brisk.cpp
+1 -1
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@@ -446,7 +446,7 @@ BRISK_Impl::generateKernel(const std::vector<float> &radiusList,
const float sigma_scale = 1.3f;
for (unsigned int scale = 0; scale < scales_; ++scale) {
scaleList_[scale] = (float) std::pow((double) 2.0, (double) (scale * lb_scale_step));
scaleList_[scale] = (float) std::pow(2, scale * lb_scale_step);
sizeList_[scale] = 0;
BriskPatternPoint *patternIteratorOuter = patternPoints_ + (scale * n_rot_ * points_);
// generate the pattern points look-up
modules/features2d/src/kaze/AKAZEFeatures.cpp
+1 -1
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@@ -73,7 +73,7 @@ void AKAZEFeatures::Allocate_Memory_Evolution(void) {
for (int j = 0; j < options_.nsublevels; j++) {
MEvolution step;
step.size = Size(level_width, level_height);
step.esigma = options_.soffset*pow(2.f, (float)(j) / (float)(options_.nsublevels) + i);
step.esigma = (float)(options_.soffset*std::pow(2, (float)(j) / (float)(options_.nsublevels) + i));
step.sigma_size = cvRound(step.esigma * options_.derivative_factor / power); // In fact sigma_size only depends on j
step.etime = 0.5f * (step.esigma * step.esigma);
step.octave = i;
modules/features2d/src/kaze/KAZEFeatures.cpp
+2 -2
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@@ -66,7 +66,7 @@ void KAZEFeatures::Allocate_Memory_Evolution(void) {
aux.Lt = Mat::zeros(options_.img_height, options_.img_width, CV_32F);
aux.Lsmooth = Mat::zeros(options_.img_height, options_.img_width, CV_32F);
aux.Ldet = Mat::zeros(options_.img_height, options_.img_width, CV_32F);
aux.esigma = options_.soffset*pow((float)2.0f, (float)(j) / (float)(options_.nsublevels)+i);
aux.esigma = (float)(options_.soffset*std::pow(2, (float)(j) / (float)(options_.nsublevels)+i));
aux.etime = 0.5f*(aux.esigma*aux.esigma);
aux.sigma_size = cvRound(aux.esigma);
aux.octave = i;
@@ -472,7 +472,7 @@ void KAZEFeatures::Do_Subpixel_Refinement(std::vector<KeyPoint> &kpts) {
dsc = kpts_[i].octave + (kpts_[i].angle + *(dst.ptr<float>(2))) / ((float)(options_.nsublevels));
// In OpenCV the size of a keypoint is the diameter!!
kpts_[i].size = 2.0f*options_.soffset*pow((float)2.0f, dsc);
kpts_[i].size = (float)(2*options_.soffset*std::pow(2, dsc));
kpts_[i].angle = 0.0;
}
// Set the points to be deleted after the for loop
modules/features2d/src/sift.dispatch.cpp
+2 -2
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@@ -231,10 +231,10 @@ void SIFT_Impl::buildGaussianPyramid( const Mat& base, std::vector<Mat>& pyr, in
// precompute Gaussian sigmas using the following formula:
// \sigma_{total}^2 = \sigma_{i}^2 + \sigma_{i-1}^2
sig[0] = sigma;
double k = std::pow( 2., 1. / nOctaveLayers );
double k = std::pow( 2, 1. / nOctaveLayers );
for( int i = 1; i < nOctaveLayers + 3; i++ )
{
double sig_prev = std::pow(k, (double)(i-1))*sigma;
double sig_prev = (double)std::pow(k, i-1)*sigma;
double sig_total = sig_prev*k;
sig[i] = std::sqrt(sig_total*sig_total - sig_prev*sig_prev);
}