TinyImageNetDataSetIterator (deeplearning4j 1.0.0-beta6 API)

java.lang.Object
- org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
- - org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator

All Implemented Interfaces:

Serializable, Iterator<DataSet>, DataSetIterator
```
public class TinyImageNetDataSetIterator
extends RecordReaderDataSetIterator
```
Tiny ImageNet is a subset of the ImageNet database. TinyImageNet is the default course challenge for CS321n at Stanford University. Tiny ImageNet has 200 classes, each consisting of 500 training images.
Images are 64x64 pixels, RGB. See: http://cs231n.stanford.edu/ and https://tiny-imagenet.herokuapp.com/

Author:

Justin Long (crockpotveggies)

See Also:

Serialized Form

Nested Class Summary
- Nested classes/interfaces inherited from class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
  RecordReaderDataSetIterator.Builder

Field Summary

Fields
Modifier and Type Field and Description

protected DataSetPreProcessor preProcessor
- Fields inherited from class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
  batchNum, batchSize, converter, labelIndex, labelIndexTo, last, maxNumBatches, numPossibleLabels, recordReader, regression, sequenceIter, useCurrent

Fields
Modifier and Type	Field and Description
`protected DataSetPreProcessor`	`preProcessor`

Constructor Summary

Constructors
Constructor and Description
`TinyImageNetDataSetIterator(int batchSize)` Create an iterator for the training set, with random iteration order (RNG seed fixed to 123)
`TinyImageNetDataSetIterator(int batchSize, DataSetType set)` * Create an iterator for the training or test set, with random iteration order (RNG seed fixed to 123)
`TinyImageNetDataSetIterator(int batchSize, int[] imgDim, DataSetType set)` Get the Tiny ImageNet iterator with specified train/test set, with random iteration order (RNG seed fixed to 123)
`TinyImageNetDataSetIterator(int batchSize, int[] imgDim, DataSetType set, ImageTransform imageTransform, long rngSeed)` Get the Tiny ImageNet iterator with specified train/test set and (optional) custom transform.

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static List<String>`	`getLabels(boolean categories)` Get the labels - either in "categories" (imagenet synsets format, "n01910747" or similar) or human-readable format, such as "jellyfish"

Methods inherited from class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
asyncSupported, batch, getLabels, hasNext, inputColumns, loadFromMetaData, loadFromMetaData, next, next, remove, reset, resetSupported, setCollectMetaData, setPreProcessor, totalOutcomes

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

Methods inherited from interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
getPreProcessor

Methods inherited from interface java.util.Iterator
forEachRemaining

- Field Detail
  - preProcessor
```
protected DataSetPreProcessor preProcessor
```
- Constructor Detail
  - TinyImageNetDataSetIterator
```
public TinyImageNetDataSetIterator(int batchSize)
```
    Create an iterator for the training set, with random iteration order (RNG seed fixed to 123)
    
    Parameters:
    
    batchSize - Minibatch size for the iterator
  - TinyImageNetDataSetIterator
```
public TinyImageNetDataSetIterator(int batchSize,
                                   DataSetType set)
```
    * Create an iterator for the training or test set, with random iteration order (RNG seed fixed to 123)
    
    Parameters:
    
    batchSize - Minibatch size for the iterator
    
    set - The dataset (train or test)
  - TinyImageNetDataSetIterator
```
public TinyImageNetDataSetIterator(int batchSize,
                                   int[] imgDim,
                                   DataSetType set)
```
    Get the Tiny ImageNet iterator with specified train/test set, with random iteration order (RNG seed fixed to 123)
    
    Parameters:
    
    batchSize - Size of each patch
    
    imgDim - Dimensions of desired output - for example, {64, 64}
    
    set - Train, test, or validation
  - TinyImageNetDataSetIterator
```
public TinyImageNetDataSetIterator(int batchSize,
                                   int[] imgDim,
                                   DataSetType set,
                                   ImageTransform imageTransform,
                                   long rngSeed)
```
    Get the Tiny ImageNet iterator with specified train/test set and (optional) custom transform.
    
    Parameters:
    
    batchSize - Size of each patch
    
    imgDim - Dimensions of desired output - for example, {64, 64}
    
    set - Train, test, or validation
    
    imageTransform - Additional image transform for output
    
    rngSeed - random number generator seed to use when shuffling examples
- Method Detail
  - getLabels
```
public static List<String> getLabels(boolean categories)
```
    Get the labels - either in "categories" (imagenet synsets format, "n01910747" or similar) or human-readable format, such as "jellyfish"
    
    Parameters:
    
    categories - If true: return category/synset format; false: return "human readable" label format
    
    Returns:
    
    Labels

Class TinyImageNetDataSetIterator

Nested Class Summary

Nested classes/interfaces inherited from class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

Field Summary

Fields inherited from class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

Constructor Summary

Method Summary

Methods inherited from class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

Methods inherited from class java.lang.Object

Methods inherited from interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Methods inherited from interface java.util.Iterator

Field Detail

preProcessor

Constructor Detail

TinyImageNetDataSetIterator

TinyImageNetDataSetIterator

TinyImageNetDataSetIterator

TinyImageNetDataSetIterator

Method Detail

getLabels