Package deepnetts.util

Class ImagePreprocessing

java.lang.Object

deepnetts.util.ImagePreprocessing

All Implemented Interfaces:

Preprocessing<TensorBase>, Serializable

public class ImagePreprocessing
extends Object
implements Preprocessing<TensorBase>, Serializable

Image pre-processing to be used at inference time, after feeding input to the network.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
ImagePreprocessing()

Method Summary

Modifier and Type	Method	Description
void	apply(TensorBase input)
TensorBase	getMean()
boolean	isEnabled()
boolean	isInvertPixels()
boolean	isSubMean()
void	setEnabled(boolean enabled)
void	setInvertPixels(boolean invertPixels)
void	setMean(TensorBase mean)
void	setSubMean(boolean subMean)

Methods inherited from class java.lang.Object

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

Constructor Details

ImagePreprocessing

public ImagePreprocessing()

Method Details

apply

public void apply(TensorBase input)

Specified by:

apply in interface Preprocessing<TensorBase>

isSubMean

public boolean isSubMean()

setSubMean

public void setSubMean(boolean subMean)

isInvertPixels

public boolean isInvertPixels()

setInvertPixels

public void setInvertPixels(boolean invertPixels)

getMean

public TensorBase getMean()

setMean

public void setMean(TensorBase mean)

isEnabled

public boolean isEnabled()

setEnabled

public void setEnabled(boolean enabled)