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cuda: don't use std::numeric_limits

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CUDA code uses own implementation in cuda/limits.hpp
This commit is contained in:
Alexander Alekhin 2018-02-03 18:51:22 +00:00
parent 7fedfa0380
commit 0d01b97b75
1 changed files with 4 additions and 4 deletions
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8
modules/core/include/opencv2/core/cuda/detail/color_detail.hpp
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@ -1027,8 +1027,8 @@ namespace cv { namespace cuda { namespace device
vmin = fmin(vmin, b);
diff = v - vmin;
s = diff / (float)(::fabs(v) + std::numeric_limits<float>::epsilon());
diff = (float)(60. / (diff + std::numeric_limits<float>::epsilon()));
s = diff / (float)(::fabs(v) + numeric_limits<float>::epsilon());
diff = (float)(60. / (diff + numeric_limits<float>::epsilon()));
h = (v == r) * (g - b) * diff;
h += (v != r && v == g) * ((b - r) * diff + 120.f);
@ -1261,7 +1261,7 @@ namespace cv { namespace cuda { namespace device
diff = vmax - vmin;
l = (vmax + vmin) * 0.5f;
if (diff > std::numeric_limits<float>::epsilon())
if (diff > numeric_limits<float>::epsilon())
{
s = (l < 0.5f) * diff / (vmax + vmin);
s += (l >= 0.5f) * diff / (2.0f - vmax - vmin);
@ -1802,7 +1802,7 @@ namespace cv { namespace cuda { namespace device
float L = splineInterpolate(Y * (LAB_CBRT_TAB_SIZE / 1.5f), c_LabCbrtTab, LAB_CBRT_TAB_SIZE);
L = 116.f * L - 16.f;
const float d = (4 * 13) / ::fmaxf(X + 15 * Y + 3 * Z, std::numeric_limits<float>::epsilon());
const float d = (4 * 13) / ::fmaxf(X + 15 * Y + 3 * Z, numeric_limits<float>::epsilon());
float u = L * (X * d - _un);
float v = L * ((9 * 0.25f) * Y * d - _vn);