Package org.opencv.dnn

Class Layer

java.lang.Object

org.opencv.core.Algorithm

org.opencv.dnn.Layer

public class Layer
extends Algorithm

This interface class allows to build new Layers - are building blocks of networks. Each class, derived from Layer, must implement allocate() methods to declare own outputs and forward() to compute outputs. Also before using the new layer into networks you must register your layer by using one of REF: dnnLayerFactory "LayerFactory" macros.

Field Summary

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	Layer(long addr)

Method Summary

Modifier and Type	Method	Description
static Layer	__fromPtr__(long addr)
protected void	finalize()
void	finalize(java.util.List<Mat> inputs, java.util.List<Mat> outputs)	Computes and sets internal parameters according to inputs, outputs and blobs.
java.util.List<Mat>	get_blobs()
java.lang.String	get_name()
int	get_preferableTarget()
java.lang.String	get_type()
int	outputNameToIndex(java.lang.String outputName)	Returns index of output blob in output array.
void	run(java.util.List<Mat> inputs, java.util.List<Mat> outputs, java.util.List<Mat> internals)	Deprecated. This method will be removed in the future release.
void	set_blobs(java.util.List<Mat> blobs)

Methods inherited from class org.opencv.core.Algorithm

clear, empty, getDefaultName, getNativeObjAddr, save

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Layer

protected Layer(long addr)

Method Detail

__fromPtr__

public static Layer __fromPtr__(long addr)

outputNameToIndex

public int outputNameToIndex(java.lang.String outputName)

Returns index of output blob in output array. SEE: inputNameToIndex()

Parameters:

outputName - automatically generated

Returns:

automatically generated

finalize

public void finalize(java.util.List<Mat> inputs,
                     java.util.List<Mat> outputs)

Computes and sets internal parameters according to inputs, outputs and blobs.

Parameters:

outputs - vector of already allocated output blobs If this method is called after network has allocated all memory for input and output blobs and before inferencing.

inputs - automatically generated

run

@Deprecated
public void run(java.util.List<Mat> inputs,
                java.util.List<Mat> outputs,
                java.util.List<Mat> internals)

Deprecated.

This method will be removed in the future release.

Allocates layer and computes output.

Parameters:

inputs - automatically generated

outputs - automatically generated

internals - automatically generated

get_blobs

public java.util.List<Mat> get_blobs()

set_blobs

public void set_blobs(java.util.List<Mat> blobs)

get_name

public java.lang.String get_name()

get_type

public java.lang.String get_type()

get_preferableTarget

public int get_preferableTarget()

finalize

protected void finalize()
                 throws java.lang.Throwable

Overrides:

finalize in class Algorithm

Throws:

java.lang.Throwable