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opencv-wasm

dnn_ImagePaddingMode

Deep neural networksclassOpenCV 5.0.0
import { dnn_ImagePaddingMode } from '@banou/opencv-wasm'

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

ARGUMENTSConstructor or factory
CLASSdnn_ImagePaddingMode
RETURN TYPEOwned native handle
Call structure. A void return can still write to destination arguments. The parameter descriptions define inputs, outputs and ownership.

Native object: release it with using or delete(). Factories can return null; check before calling methods.

Enum of image processing mode. To facilitate the specialization pre-processing requirements of the dnn model. For example, the letter box often used in the Yolo series of models. See: Image2BlobParams

Upstream declaration ↗

Constructors and members

static DNN_PMODE_NULL

!< Default. Resize to required input size without extra processing.

DNN_PMODE_NULL: dnn_ImagePaddingModeValue<0>,

Upstream declaration ↗

static DNN_PMODE_CROP_CENTER

!< Image will be cropped after resize.

DNN_PMODE_CROP_CENTER: dnn_ImagePaddingModeValue<1>,

Upstream declaration ↗

static DNN_PMODE_LETTERBOX

!< Resize image to the desired size while preserving the aspect ratio of original image.

DNN_PMODE_LETTERBOX: dnn_ImagePaddingModeValue<2>

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.