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Merge branch 4.x

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Alexander Smorkalov
2024-09-20 13:20:55 +03:00
parent e823493af1 f503890c2b
commit cb3af0a08f
185 changed files with 9454 additions and 3607 deletions
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modules/core/include/opencv2/core.hpp
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@@ -811,10 +811,17 @@ The function cv::minMaxLoc finds the minimum and maximum element values and thei
extremums are searched across the whole array or, if mask is not an empty array, in the specified
array region.
The function do not work with multi-channel arrays. If you need to find minimum or maximum
elements across all the channels, use Mat::reshape first to reinterpret the array as
single-channel. Or you may extract the particular channel using either extractImageCOI, or
mixChannels, or split.
In C++, if the input is multi-channel, you should omit the minLoc, maxLoc, and mask arguments
(i.e. leave them as NULL, NULL, and noArray() respectively). These arguments are not
supported for multi-channel input arrays. If working with multi-channel input and you
need the minLoc, maxLoc, or mask arguments, then use Mat::reshape first to reinterpret
the array as single-channel. Alternatively, you can extract the particular channel using either
extractImageCOI, mixChannels, or split.
In Python, multi-channel input is not supported at all due to a limitation in the
binding generation process (there is no way to set minLoc and maxLoc to NULL). A
workaround is to operate on each channel individually or to use NumPy to achieve the same
functionality.
@note CV_16F/CV_16BF/CV_Bool/CV_64U/CV_64S/CV_32U are not supported for src.
@param src input single-channel array.
@param minVal pointer to the returned minimum value; NULL is used if not required.