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Merge pull request #27482 from mshabunin:normalize-doc

doc: added note to normalize function
This commit is contained in:
Alexander Smorkalov
2025-06-26 08:23:37 +03:00
committed by GitHub
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@@ -805,6 +805,11 @@ Possible usage with some positive example data:
normalize(positiveData, normalizedData_minmax, 1.0, 0.0, NORM_MINMAX);
@endcode
@note Due to rounding issues, min-max normalization can result in values outside provided boundaries.
If exact range conformity is needed, following workarounds can be used:
- use double floating point precision (dtype = CV_64F)
- manually clip values (`cv::max(res, left_bound, res)`, `cv::min(res, right_bound, res)` or `np.clip`)
@param src input array.
@param dst output array of the same size as src .
@param alpha norm value to normalize to or the lower range boundary in case of the range