message: cuda: don't use std::numeric_limits
  CUDA code uses own implementation in cuda/limits.hpp
diff: @@ -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);
  