This class allows to create and manipulate comprehensive artificial neural networks. More...

#include "dnn.hpp"

Public Types
typedef DictValue	LayerId
	Container for strings and integers. More...

Public Member Functions
	Net ()
	Default constructor. More...

	~Net ()
	Destructor frees the net only if there aren't references to the net anymore. More...

int	addLayer (const String &name, const String &type, LayerParams &params)
	Adds new layer to the net. More...

int	addLayerToPrev (const String &name, const String &type, LayerParams &params)
	Adds new layer and connects its first input to the first output of previously added layer. More...

void	connect (String outPin, String inpPin)
	Connects output of the first layer to input of the second layer. More...

void	connect (int outLayerId, int outNum, int inpLayerId, int inpNum)
	Connects #`outNum` output of the first layer to #`inNum` input of the second layer. More...

void	deleteLayer (LayerId layer)
	Delete layer for the network (not implemented yet) More...

void	forward ()
	Runs forward pass for the whole network. More...

void	forward (LayerId toLayer)
	Runs forward pass to compute output of layer `toLayer`. More...

void	forward (LayerId startLayer, LayerId toLayer)
	Runs forward pass to compute output of layer `toLayer`, but computations start from `startLayer`. More...

void	forward (const std::vector< LayerId > &startLayers, const std::vector< LayerId > &toLayers)

void	forwardOpt (LayerId toLayer)
	Optimized forward. More...

void	forwardOpt (const std::vector< LayerId > &toLayers)

Blob	getBlob (String outputName)
	Returns the layer output blob. More...

int	getLayerId (const String &layer)
	Converts string name of the layer to the integer identifier. More...

Blob	getParam (LayerId layer, int numParam=0)
	Returns parameter blob of the layer. More...

void	setBlob (String outputName, const Blob &blob)
	Sets the new value for the layer output blob. More...

void	setNetInputs (const std::vector< String > &inputBlobNames)
	Sets ouputs names of the network input pseudo layer. More...

void	setParam (LayerId layer, int numParam, const Blob &blob)
	Sets the new value for the learned param of the layer. More...

Detailed Description

This class allows to create and manipulate comprehensive artificial neural networks.

Neural network is presented as directed acyclic graph (DAG), where vertices are Layer instances, and edges specify relationships between layers inputs and outputs.

Each network layer has unique integer id and unique string name inside its network. LayerId can store either layer name or layer id.

This class supports reference counting of its instances, i. e. copies point to the same instance.

Member Typedef Documentation

typedef DictValue cv::dnn::Net::LayerId

Container for strings and integers.

Constructor & Destructor Documentation

cv::dnn::Net::Net ( )

Default constructor.

cv::dnn::Net::~Net ( )

Destructor frees the net only if there aren't references to the net anymore.

Member Function Documentation

int cv::dnn::Net::addLayer	(	const String &	name,
		const String &	type,
		LayerParams &	params
	)

Adds new layer to the net.

Parameters

name	unique name of the adding layer.
type	typename of the adding layer (type must be registered in LayerRegister).
params	parameters which will be used to initialize the creating layer.

Returns: unique identifier of created layer, or -1 if a failure will happen.

int cv::dnn::Net::addLayerToPrev	(	const String &	name,
		const String &	type,
		LayerParams &	params
	)

Adds new layer and connects its first input to the first output of previously added layer.

See also: addLayer()

void cv::dnn::Net::connect	(	String	outPin,
		String	inpPin
	)

Connects output of the first layer to input of the second layer.

Parameters

outPin	descriptor of the first layer output.
inpPin	descriptor of the second layer input.

Descriptors have the following template <layer_name>[.input_number]:

the first part of the template layer_name is sting name of the added layer. If this part is empty then the network input pseudo layer will be used;
the second optional part of the template input_number is either number of the layer input, either label one. If this part is omitted then the first layer input will be used.

See also
setNetInputs(), Layer::inputNameToIndex(), Layer::outputNameToIndex()

void cv::dnn::Net::connect	(	int	outLayerId,
		int	outNum,
		int	inpLayerId,
		int	inpNum
	)

Connects #outNum output of the first layer to #inNum input of the second layer.

Parameters

outLayerId	identifier of the first layer
inpLayerId	identifier of the second layer
outNum	number of the first layer output
inpNum	number of the second layer input

void cv::dnn::Net::deleteLayer ( LayerId layer )

Delete layer for the network (not implemented yet)

void cv::dnn::Net::forward ( )

Runs forward pass for the whole network.

void cv::dnn::Net::forward ( LayerId toLayer )

Runs forward pass to compute output of layer toLayer.

void cv::dnn::Net::forward	(	LayerId	startLayer,
		LayerId	toLayer
	)

Runs forward pass to compute output of layer toLayer, but computations start from startLayer.

void cv::dnn::Net::forward	(	const std::vector< LayerId > &	startLayers,
		const std::vector< LayerId > &	toLayers
	)

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

void cv::dnn::Net::forwardOpt ( LayerId toLayer )

Optimized forward.

Warning: Not implemented yet.

Makes forward only those layers which weren't changed after previous forward().

void cv::dnn::Net::forwardOpt ( const std::vector< LayerId > & toLayers )

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Blob cv::dnn::Net::getBlob ( String outputName )

Returns the layer output blob.

Parameters

outputName the descriptor of the returning layer output blob.

See also: connect(String, String)

int cv::dnn::Net::getLayerId ( const String & layer )

Converts string name of the layer to the integer identifier.

Returns: id of the layer, or -1 if the layer wasn't found.

Blob cv::dnn::Net::getParam	(	LayerId	layer,
		int	numParam = `0`
	)

Returns parameter blob of the layer.

Parameters

layer	name or id of the layer.
numParam	index of the layer parameter in the Layer::blobs array.

See also: Layer::blobs

void cv::dnn::Net::setBlob	(	String	outputName,
		const Blob &	blob
	)

Sets the new value for the layer output blob.

Parameters

outputName	descriptor of the updating layer output blob.
blob	new blob.

See also: connect(String, String) to know format of the descriptor.

Note: If updating blob is not empty then blob must have the same shape, because network reshaping is not implemented yet.

void cv::dnn::Net::setNetInputs ( const std::vector< String > & inputBlobNames )

Sets ouputs names of the network input pseudo layer.

Each net always has special own the network input pseudo layer with id=0. This layer stores the user blobs only and don't make any computations. In fact, this layer provides the only way to pass user data into the network. As any other layer, this layer can label its outputs and this function provides an easy way to do this.

void cv::dnn::Net::setParam	(	LayerId	layer,
		int	numParam,
		const Blob &	blob
	)

Sets the new value for the learned param of the layer.

Parameters

layer	name or id of the layer.
numParam	index of the layer parameter in the Layer::blobs array.
blob	the new value.

See also: Layer::blobs

Note: If shape of the new blob differs from the previous shape, then the following forward pass may fail.

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

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

Public Types

Public Member Functions

Detailed Description

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation