Class ImageConverter

java.lang.Object

org.tribuo.interop.tensorflow.ImageConverter

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, Serializable, FeatureConverter

public class ImageConverter
extends Object
implements FeatureConverter

Image converter. Assumes the feature id numbers are linearised ids of the form:

 [0,0,0] = 0, [0,0,1] = 1, [0,1,0] = k, [1,0,0] = j*k, ..., [i,0,0] = i*j*k,
 

That is, they are in multidimensional row major order (e.g. the order used by IDXDataSource).

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
ImageConverter(String inputName, int width, int height, int channels)	Builds an image converter for images of the supplied size.

Method Summary

Modifier and Type	Method	Description
TensorMap	convert(List<? extends Example<?>> examples, ImmutableFeatureMap featureIDMap)	Transform implicitly pads unseen values with zero.
TensorMap	convert(List<? extends SGDVector> vectors)	Converts a list of SGDVectors representing a batch of features into a TensorMap.
TensorMap	convert(Example<?> example, ImmutableFeatureMap featureIDMap)	Transform implicitly pads unseen values with zero.
TensorMap	convert(SGDVector vector)	Converts a SGDVector representing the features into a TensorMap.
com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance	getProvenance()
Set<String>	inputNamesSet()	Gets a view of the names of the inputs this converter produces.
void	postConfig()	Used by the OLCUT configuration system, and should not be called by external code.
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Details

ImageConverter

public ImageConverter(String inputName,
 int width,
 int height,
 int channels)

Builds an image converter for images of the supplied size.

Parameters:

inputName - The input name.

width - The image width.

height - The image height.

channels - The number of colour channels.

Method Details

postConfig

public void postConfig()

Used by the OLCUT configuration system, and should not be called by external code.

Specified by:

postConfig in interface com.oracle.labs.mlrg.olcut.config.Configurable

inputNamesSet

public Set<String> inputNamesSet()

Description copied from interface: FeatureConverter

Gets a view of the names of the inputs this converter produces.

Specified by:

inputNamesSet in interface FeatureConverter

Returns:

The input names.

convert

public TensorMap convert(Example<?> example,
 ImmutableFeatureMap featureIDMap)

Transform implicitly pads unseen values with zero.

Specified by:

convert in interface FeatureConverter

Parameters:

example - The example to transform.

featureIDMap - The feature id mapping to use.

Returns:

A 4d tensor, (1, width, height, channels) for this example.

convert

public TensorMap convert(List<? extends Example<?>> examples,
 ImmutableFeatureMap featureIDMap)

Transform implicitly pads unseen values with zero.

Converts a batch of examples into a Tensor.

Specified by:

convert in interface FeatureConverter

Parameters:

examples - The examples to transform.

featureIDMap - The feature id mapping to use.

Returns:

A 4d tensor, (batch-id, width, height, channels) for this example.

convert

public TensorMap convert(SGDVector vector)

Description copied from interface: FeatureConverter

Converts a SGDVector representing the features into a TensorMap.

It generates it as a single example minibatch.

Specified by:

convert in interface FeatureConverter

Parameters:

vector - The features to convert.

Returns:

A TensorMap (similar to a TF Python feed_dict) representing this vector.

convert

public TensorMap convert(List<? extends SGDVector> vectors)

Description copied from interface: FeatureConverter

Converts a list of SGDVectors representing a batch of features into a TensorMap.

Specified by:

convert in interface FeatureConverter

Parameters:

vectors - The batch of features to convert.

Returns:

A TensorMap (similar to a TF Python feed_dict) representing this minibatch.

toString

public String toString()

Overrides:

toString in class Object

getProvenance

public com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance getProvenance()

Specified by:

getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>