#include "all_layers.hpp"

Inheritance diagram for cv::dnn::LRNLayer:

Static Public Member Functions
static Ptr< LRNLayer >	create (int type=LRNLayer::CHANNEL_NRM, int size=5, double alpha=1, double beta=0.75, double bias=1, bool normBySize=true)

Public Attributes
double	alpha

double	beta

double	bias

bool	normBySize

int	size

int	type

Public Attributes inherited from cv::dnn::Layer
std::vector< Blob >	blobs
	List of learned parameters must be stored here to allow read them by using Net::getParam(). More...

String	name
	Name of the layer instance, can be used for logging or other internal purposes. More...

String	type
	Type name which was used for creating layer by layer factory. More...

Additional Inherited Members
Public Member Functions inherited from cv::dnn::Layer
	Layer ()

	Layer (const LayerParams &params)
	Initializes only name, type and blobs fields. More...

virtual	~Layer ()

virtual void	allocate (const std::vector< Blob *> &input, std::vector< Blob > &output)=0
	Allocates internal buffers and output blobs with respect to the shape of inputs. More...

void	allocate (const std::vector< Blob > &inputs, std::vector< Blob > &outputs)

std::vector< Blob >	allocate (const std::vector< Blob > &inputs)

virtual void	forward (std::vector< Blob *> &input, std::vector< Blob > &output)=0
	Given the `input` blobs, computes the output `blobs`. More...

void	forward (const std::vector< Blob > &inputs, std::vector< Blob > &outputs)

virtual int	inputNameToIndex (String inputName)
	Returns index of input blob into the input array. More...

virtual int	outputNameToIndex (String outputName)
	Returns index of output blob in output array. More...

void	run (const std::vector< Blob > &inputs, std::vector< Blob > &outputs)
	Allocates layer and computes output. More...

void	setParamsFrom (const LayerParams &params)
	Initializes only name, type and blobs fields. More...

Member Enumeration Documentation

§ Type

Enumerator
CHANNEL_NRM
SPATIAL_NRM

static Ptr<LRNLayer> cv::dnn::LRNLayer::create	(	int	type = `LRNLayer::CHANNEL_NRM`,
		int	size = `5`,
		double	alpha = `1`,
		double	beta = `0.75`,
		double	bias = `1`,
		bool	normBySize = `true`
	)

static

double cv::dnn::LRNLayer::alpha

double cv::dnn::LRNLayer::beta

double cv::dnn::LRNLayer::bias

bool cv::dnn::LRNLayer::normBySize

int cv::dnn::LRNLayer::size

int cv::dnn::LRNLayer::type

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

/build/master-contrib_docs-lin64/opencv_contrib/modules/dnn/include/opencv2/dnn/all_layers.hpp