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Use HAL for cv::mean function too.

This commit is contained in:
Alexander Smorkalov
2025-02-10 15:26:41 +03:00
committed by Alexander Smorkalov
parent 1e013a07c4
commit 7aaada4175
2 changed files with 26 additions and 13 deletions
+18 -2
View File
@@ -130,13 +130,29 @@ Scalar mean(InputArray _src, InputArray _mask)
CV_Assert( mask.empty() || mask.type() == CV_8U );
int k, cn = src.channels(), depth = src.depth();
Scalar s;
Scalar s = Scalar::all(0.0);
CV_Assert( cn <= 4 );
CV_IPP_RUN(IPP_VERSION_X100 >= 700, ipp_mean(src, mask, s), s)
if (src.isContinuous() && mask.isContinuous())
{
CALL_HAL_RET2(meanStdDev, cv_hal_meanStdDev, s, src.data, 0, (int)src.total(), 1, src.type(),
&s[0], nullptr /*stddev*/, mask.data, 0);
}
else
{
if (src.dims <= 2)
{
CALL_HAL_RET2(meanStdDev, cv_hal_meanStdDev, s, src.data, src.step, src.cols, src.rows, src.type(),
&s[0], nullptr, mask.data, mask.step);
}
}
SumFunc func = getSumFunc(depth);
CV_Assert( cn <= 4 && func != 0 );
CV_Assert( func != 0 );
const Mat* arrays[] = {&src, &mask, 0};
uchar* ptrs[2] = {};