gapi_normalize

gapifunctionOpenCV 5.0.0

import { gapi_normalize } from '@banou/opencv-wasm'

Use after await initOpenCV(). See the initialization and named imports guide.

ARGUMENTSsrc, alpha, beta, norm_type

FUNCTIONgapi_normalize

RETURN TYPEGMat

Call structure. A void return can still write to destination arguments. The parameter descriptions define inputs, outputs and ownership.

Normalizes the norm or value range of an array.

The function normalizes scale and shift the input array elements so that

\| \texttt{dst} \| _{L_p}= \texttt{alpha}

(where p=Inf, 1 or 2) when normType=NORM_INF, NORM_L1, or NORM_L2, respectively; or so that

\min _I  \texttt{dst} (I)= \texttt{alpha} , \, \, \max _I  \texttt{dst} (I)= \texttt{beta}

when normType=NORM_MINMAX (for dense arrays only).

Note: Function textual ID is "org.opencv.core.normalize"

See: norm, Mat::convertTo

gapi_normalize(src: GMat, alpha: number, beta: number, norm_type: number, ddepth: number): GMat;

2 available overloads

gapi_normalize(src: GMat, alpha: number, beta: number, norm_type: number): GMat;

gapi_normalize(src: GMat, alpha: number, beta: number, norm_type: number, ddepth: number): GMat;

src: input array.
alpha: norm value to normalize to or the lower range boundary in case of the range normalization.
beta: upper range boundary in case of the range normalization; it is not used for the norm normalization.
norm_type: normalization type (see cv::NormTypes).
ddepth: when negative, the output array has the same type as src; otherwise, it has the same number of channels as src and the depth =ddepth.

Returns

The GMat result. Release returned native handles with using or delete(), including handles nested in results.

Upstream declaration ↗

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