dnn_imagesFromBlob

Deep neural networksfunctionOpenCV 5.0.0

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

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

ARGUMENTSblob_, images_

FUNCTIONdnn_imagesFromBlob

RETURN TYPEvoid

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

Parse a 4D blob and output the images it contains as 2D arrays through a simpler data structure (std::vectorcv::Mat).

dnn_imagesFromBlob(blob_: Mat, images_: MatVector): void;

blob_: 4 dimensional array (images, channels, height, width) in floating point precision (CV_32F) from which you would like to extract the images.
images_: Output destination, filled by the native operation. array of 2D Mat containing the images extracted from the blob in floating point precision (CV_32F). They are non normalized neither mean added. The number of returned images equals the first dimension of the blob (batch size). Every image has a number of channels equals to the second dimension of the blob (depth).

Upstream declaration ↗

These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.