org.openimaj.feature

Class DatasetExtractors

java.lang.Object

org.openimaj.feature.DatasetExtractors

public class DatasetExtractors
extends Object

Static methods to generate datasets of features from datasets of objects using a feature extractor.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Method Summary

Modifier and Type	Method and Description
static <FEATURE,OBJECT,KEY> GroupedDataset<KEY,ListDataset<FEATURE>,FEATURE>	createLazyFeatureDataset(GroupedDataset<KEY,? extends ListDataset<OBJECT>,OBJECT> input, FeatureExtractor<FEATURE,OBJECT> extractor) Create a GroupedDataset of keys to ListDataset of features from the given GroupedDataset of keys to ListDatasets of objects by extracting the features from the objects with the given feature extractor.
static <FEATURE,OBJECT> ListDataset<FEATURE>	createLazyFeatureDataset(ListDataset<OBJECT> input, FeatureExtractor<FEATURE,OBJECT> extractor) Create a ListDataset of features from the given ListDataset of objects by extracting the features from the objects with the given feature extractor.

Methods inherited from class java.lang.Object

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

Method Detail

createLazyFeatureDataset

public static <FEATURE,OBJECT> ListDataset<FEATURE> createLazyFeatureDataset(ListDataset<OBJECT> input,
                                                                             FeatureExtractor<FEATURE,OBJECT> extractor)

Create a ListDataset of features from the given ListDataset of objects by extracting the features from the objects with the given feature extractor.

This function is produces a lazy ListDataset instance that extracts features on demand. No caching is performed, so if you get from the resultant list for the same element many times, you'll invoke the feature extractor each time.

Parameters:

input - the ListDataset of input objects

extractor - the feature extractor

Returns:

a ListDataset of features

createLazyFeatureDataset

public static <FEATURE,OBJECT,KEY> GroupedDataset<KEY,ListDataset<FEATURE>,FEATURE> createLazyFeatureDataset(GroupedDataset<KEY,? extends ListDataset<OBJECT>,OBJECT> input,
                                                                                                             FeatureExtractor<FEATURE,OBJECT> extractor)

Create a GroupedDataset of keys to ListDataset of features from the given GroupedDataset of keys to ListDatasets of objects by extracting the features from the objects with the given feature extractor.

This function is produces a lazy GroupedDataset instance that extracts features on demand. No caching is performed, so if you get from the resultant list for the same element many times, you'll invoke the feature extractor each time.

Parameters:

input - the GroupedDataset of input objects

extractor - the feature extractor

Returns:

a GroupedDataset of features