org.encog.platformspecific.j2se.data.image

Class ImageMLDataSet

java.lang.Object

org.encog.ml.data.basic.BasicMLDataSet

org.encog.platformspecific.j2se.data.image.ImageMLDataSet

All Implemented Interfaces:

java.io.Serializable, java.lang.Iterable<MLDataPair>, MLDataSet

public class ImageMLDataSet
extends BasicMLDataSet

Store a collection of images for training with a neural network. This class collects and then downsamples images for use with a neural network. This is a memory based class, so large datasets can run out of memory.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class org.encog.ml.data.basic.BasicMLDataSet

BasicMLDataSet.BasicMLIterator

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	MUST_USE_IMAGE Error message to inform the caller that only ImageNeuralData objects can be used with this collection.

Constructor Summary

Constructors

Constructor and Description
ImageMLDataSet(Downsample theDownsampler, boolean theFindBounds, double theHi, double theLo) Construct this class with the specified downsampler.

Method Summary

Modifier and Type	Method and Description
void	downsample(int theHeight, int theWidth) Downsample all images and generate training data.
int	getHeight()
int	getWidth()

Methods inherited from class org.encog.ml.data.basic.BasicMLDataSet

add, add, add, clone, close, get, getData, getIdealSize, getInputSize, getRecord, getRecordCount, isSupervised, iterator, openAdditional, setData, size, toList

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Field Detail

MUST_USE_IMAGE

public static final java.lang.String MUST_USE_IMAGE

Error message to inform the caller that only ImageNeuralData objects can be used with this collection.

See Also:

Constant Field Values

Constructor Detail

ImageMLDataSet

public ImageMLDataSet(Downsample theDownsampler,
                      boolean theFindBounds,
                      double theHi,
                      double theLo)

Construct this class with the specified downsampler.

Parameters:

theDownsampler - The downsampler to use.

theFindBounds - Should the bounds be found and clipped.

theHi - The high value to normalize to.

theLo - The low value to normalize to.

Method Detail

downsample

public final void downsample(int theHeight,
                             int theWidth)

Downsample all images and generate training data.

Parameters:

theHeight - The height to downsample to.

theWidth - the width to downsample to.

getHeight

public final int getHeight()

Returns:

the height

getWidth

public final int getWidth()

Returns:

the width