Processing params of image to blob. More...

#include <opencv2/dnn/dnn.hpp>

Collaboration diagram for cv::dnn::Image2BlobParams:

Public Member Functions
	Image2BlobParams ()

	Image2BlobParams (const Scalar &scalefactor, const Size &size=Size(), const Scalar &mean=Scalar(), bool swapRB=false, int ddepth=CV_32F, DataLayout datalayout=DNN_LAYOUT_NCHW, ImagePaddingMode mode=dnn::DNN_PMODE_NULL, Scalar borderValue=0.0)

void	blobRectsToImageRects (const std::vector< Rect > &rBlob, std::vector< Rect > &rImg, const Size &size)
	Get rectangle coordinates in original image system from rectangle in blob coordinates.

Rect	blobRectToImageRect (const Rect &rBlob, const Size &size)
	Get rectangle coordinates in original image system from rectangle in blob coordinates.

Public Attributes
Scalar	borderValue
	Value used in padding mode for padding.

DataLayout	datalayout
	Order of output dimensions. Choose DNN_LAYOUT_NCHW or DNN_LAYOUT_NHWC.

int	ddepth
	Depth of output blob. Choose CV_32F or CV_8U.

Scalar	mean
	Scalar with mean values which are subtracted from channels.

dnn::ImagePaddingMode	paddingmode
	Image padding mode.

Scalar	scalefactor
	scalefactor multiplier for input image values.

Size	size
	Spatial size for output image.

bool	swapRB
	Flag which indicates that swap first and last channels.

Detailed Description

Processing params of image to blob.

It includes all possible image processing operations and corresponding parameters.

See also: blobFromImageWithParams

Note: The order and usage of scalefactor and mean are (input - mean) * scalefactor. The order and usage of scalefactor, size, mean, swapRB, and ddepth are consistent with the function of blobFromImage.

Constructor & Destructor Documentation

◆ Image2BlobParams() [1/2]

cv::dnn::Image2BlobParams::Image2BlobParams ( )

◆ Image2BlobParams() [2/2]

cv::dnn::Image2BlobParams::Image2BlobParams	(	const Scalar &	scalefactor,
		const Size &	size = Size(),
		const Scalar &	mean = Scalar(),
		bool	swapRB = false,
		int	ddepth = CV_32F,
		DataLayout	datalayout = DNN_LAYOUT_NCHW,
		ImagePaddingMode	mode = dnn::DNN_PMODE_NULL,
		Scalar	borderValue = 0.0 )

Member Function Documentation

◆ blobRectsToImageRects()

void cv::dnn::Image2BlobParams::blobRectsToImageRects	(	const std::vector< Rect > &	rBlob,
		std::vector< Rect > &	rImg,
		const Size &	size )

Get rectangle coordinates in original image system from rectangle in blob coordinates.

Parameters

rBlob	rect in blob coordinates.
rImg	result rect in image coordinates.
size	original input image size.

◆ blobRectToImageRect()

Rect cv::dnn::Image2BlobParams::blobRectToImageRect	(	const Rect &	rBlob,
		const Size &	size )

Get rectangle coordinates in original image system from rectangle in blob coordinates.

Parameters

rBlob	rect in blob coordinates.
size	original input image size.

Returns: rectangle in original image coordinates.

Member Data Documentation

◆ borderValue

Scalar cv::dnn::Image2BlobParams::borderValue

Value used in padding mode for padding.

◆ datalayout

DataLayout cv::dnn::Image2BlobParams::datalayout

Order of output dimensions. Choose DNN_LAYOUT_NCHW or DNN_LAYOUT_NHWC.

◆ ddepth

int cv::dnn::Image2BlobParams::ddepth

Depth of output blob. Choose CV_32F or CV_8U.

◆ mean

Scalar cv::dnn::Image2BlobParams::mean

Scalar with mean values which are subtracted from channels.

◆ paddingmode

dnn::ImagePaddingMode cv::dnn::Image2BlobParams::paddingmode

Image padding mode.

See also: ImagePaddingMode.

◆ scalefactor

Scalar cv::dnn::Image2BlobParams::scalefactor

scalefactor multiplier for input image values.

◆ size

Size cv::dnn::Image2BlobParams::size

Spatial size for output image.

◆ swapRB

bool cv::dnn::Image2BlobParams::swapRB

Flag which indicates that swap first and last channels.

The documentation for this struct was generated from the following file:

opencv2/dnn/dnn.hpp

Public Member Functions

Public Attributes