Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

## 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:
  Serializable, 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.

Author:
  jheaton
See Also:
  Serialized Form

Nested Class Summary

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

Field Summary
`static String` | `MUST_USE_IMAGE` Error message to inform the caller that only ImageNeuralData objects can be used with this collection.

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

Method Summary
`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, getData, getIdealSize, getInputSize, getRecord, getRecordCount, isSupervised, iterator, openAdditional, setData`

Methods inherited from class java.lang.Object
`equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Field Detail

### MUST_USE_IMAGE

    public static final 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

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

Copyright © 2011. All Rights Reserved.