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Feedback.
Still need to remove the descriptions of these flags from cv::norm
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@ -640,10 +640,14 @@ Scalar_ 's.
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CV_EXPORTS_W void meanStdDev(InputArray src, OutputArray mean, OutputArray stddev,
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InputArray mask=noArray());
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/** @brief Calculates an absolute array norm.
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/** @brief Calculates the absolute norm of an array.
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This version of cv::norm calculates the absolute norm of src1. The type of norm to calculate is specified using cv::NormTypes.
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If normType is not specified, NORM_L2 is used.
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--done edit--
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\f[norm = \forkfour{\|\texttt{src1}\|_{L_{\infty}} = \max _I | \texttt{src1} (I)|}{if \(\texttt{normType} = \texttt{NORM_INF}\) }
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{ \| \texttt{src1} \| _{L_1} = \sum _I | \texttt{src1} (I)|}{if \(\texttt{normType} = \texttt{NORM_L1}\) }
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{ \| \texttt{src1} \| _{L_2} = \sqrt{\sum_I \texttt{src1}(I)^2} }{if \(\texttt{normType} = \texttt{NORM_L2}\) }
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@ -151,16 +151,58 @@ enum DecompTypes {
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DECOMP_NORMAL = 16
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};
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//! norm types
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enum NormTypes { NORM_INF = 1,
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/** norm types
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src1 and src2 denote input arrays.
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*/
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enum NormTypes {
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/**
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\f[
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norm = \forkthree
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{\|\texttt{src1}\|_{L_{\infty}} = \max _I | \texttt{src1} (I)|}{if \(\texttt{normType} = \texttt{NORM_INF}\) }
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{\|\texttt{src1}-\texttt{src2}\|_{L_{\infty}} = \max _I | \texttt{src1} (I) - \texttt{src2} (I)|}{if \(\texttt{normType} = \texttt{NORM_INF}\) }
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{\frac{\|\texttt{src1}-\texttt{src2}\|_{L_{\infty}} }{\|\texttt{src2}\|_{L_{\infty}} }}{if \(\texttt{normType} = \texttt{NORM_RELATIVE | NORM_INF}\) }
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\f]
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*/
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NORM_INF = 1,
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/**
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\f[
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norm = \forkthree
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{\| \texttt{src1} \| _{L_1} = \sum _I | \texttt{src1} (I)|}{if \(\texttt{normType} = \texttt{NORM_L1}\)}
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{ \| \texttt{src1} - \texttt{src2} \| _{L_1} = \sum _I | \texttt{src1} (I) - \texttt{src2} (I)|}{if \(\texttt{normType} = \texttt{NORM_L1}\) }
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{ \frac{\|\texttt{src1}-\texttt{src2}\|_{L_1} }{\|\texttt{src2}\|_{L_1}} }{if \(\texttt{normType} = \texttt{NORM_RELATIVE | NORM_L1}\) }
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\f]*/
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NORM_L1 = 2,
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/**
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\f[
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norm = \forkthree
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{ \| \texttt{src1} \| _{L_2} = \sqrt{\sum_I \texttt{src1}(I)^2} }{if \(\texttt{normType} = \texttt{NORM_L2}\) }
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{ \| \texttt{src1} - \texttt{src2} \| _{L_2} = \sqrt{\sum_I (\texttt{src1}(I) - \texttt{src2}(I))^2} }{if \(\texttt{normType} = \texttt{NORM_L2}\) }
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{ \frac{\|\texttt{src1}-\texttt{src2}\|_{L_2} }{\|\texttt{src2}\|_{L_2}} }{if \(\texttt{normType} = \texttt{NORM_RELATIVE | NORM_L2}\) }
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\f]
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*/
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NORM_L2 = 4,
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/**
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\f[
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norm = \forkthree
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{ \| \texttt{src1} \| _{L_2} ^{2} = \sum_I \texttt{src1}(I)^2} {if \(\texttt{normType} = \texttt{NORM_L2SQR}\)}
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{ \| \texttt{src1} - \texttt{src2} \| _{L_2} ^{2} = \sum_I (\texttt{src1}(I) - \texttt{src2}(I))^2 }{if \(\texttt{normType} = \texttt{NORM_L2SQR}\) }
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{ \left(\frac{\|\texttt{src1}-\texttt{src2}\|_{L_2} }{\|\texttt{src2}\|_{L_2}}\right)^2 }{if \(\texttt{normType} = \texttt{NORM_RELATIVE | NORM_L2}\) }
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\f]
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*/
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NORM_L2SQR = 5,
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/**
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In the case of one input array, calculates the Hamming distance of the array from zero,
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In the case of two input arrays, calculates the Hamming distance between the arrays.
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*/
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NORM_HAMMING = 6,
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/**
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Similar to NORM_HAMMING, but in the calculation, each two bits of the input sequence will
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be added and treated as a single bit to be used in the same calculation as NORM_HAMMING.
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*/
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NORM_HAMMING2 = 7,
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#ifndef CV_DOXYGEN
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NORM_TYPE_MASK = 7,
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#endif
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NORM_TYPE_MASK = 7, //!< bit-mask which can be used to separate norm type from norm flags
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NORM_RELATIVE = 8, //!< flag
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NORM_MINMAX = 32 //!< flag
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};
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