org.deeplearning4j.datasets.fetchers.EmnistDataFetcher Maven / Gradle / Ivy
/*
* ******************************************************************************
* *
* *
* * This program and the accompanying materials are made available under the
* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * Unless required by applicable law or agreed to in writing, software
* * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* * License for the specific language governing permissions and limitations
* * under the License.
* *
* * SPDX-License-Identifier: Apache-2.0
* *****************************************************************************
*/
package org.deeplearning4j.datasets.fetchers;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.io.FileUtils;
import org.apache.commons.io.FilenameUtils;
import org.deeplearning4j.datasets.base.EmnistFetcher;
import org.deeplearning4j.common.resources.DL4JResources;
import org.deeplearning4j.common.resources.ResourceType;
import org.eclipse.deeplearning4j.resources.utils.EMnistSet;
import org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator;
import org.deeplearning4j.datasets.mnist.MnistManager;
import org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher;
import java.io.File;
import java.io.IOException;
import java.util.Random;
@Slf4j
public class EmnistDataFetcher extends MnistDataFetcher implements DataSetFetcher {
protected EmnistFetcher fetcher;
public EmnistDataFetcher(EMnistSet dataSet, boolean binarize, boolean train, boolean shuffle,
long rngSeed,File topLevelDir) throws IOException {
fetcher = new EmnistFetcher(dataSet,topLevelDir);
if (!emnistExists(fetcher)) {
fetcher.downloadAndUntar();
}
String EMNIST_ROOT = topLevelDir.getAbsolutePath();
if (train) {
images = fetcher.getEmnistDataTrain().localPath().getAbsolutePath();
labels = fetcher.getEmnistLabelsTrain().localPath().getAbsolutePath();
totalExamples = EmnistDataSetIterator.numExamplesTrain(dataSet);
} else {
images = fetcher.getEmnistDataTest().localPath().getAbsolutePath();
labels = fetcher.getEmnistLabelsTest().localPath().getAbsolutePath();
totalExamples = EmnistDataSetIterator.numExamplesTest(dataSet);
}
try {
manager = new MnistManager(images, labels, totalExamples);
} catch (Exception e) {
log.error("",e);
FileUtils.deleteDirectory(new File(EMNIST_ROOT));
new EmnistFetcher(dataSet).downloadAndUntar();
manager = new MnistManager(images, labels, totalExamples);
}
numOutcomes = EmnistDataSetIterator.numLabels(dataSet);
this.binarize = binarize;
cursor = 0;
manager.setCurrent(cursor);
inputColumns = manager.getImages().getEntryLength();
this.train = train;
this.shuffle = shuffle;
order = new int[totalExamples];
for (int i = 0; i < order.length; i++)
order[i] = i;
rng = new Random(rngSeed);
reset(); //Shuffle order
//For some inexplicable reason, EMNIST LETTERS set is indexed 1 to 26 (i.e., 1 to nClasses), while everything else
// is indexed (0 to nClasses-1) :/
if (dataSet == EMnistSet.LETTERS) {
oneIndexed = true;
} else {
oneIndexed = false;
}
this.fOrder = true; //MNIST is C order, EMNIST is F order
}
public EmnistDataFetcher(EMnistSet dataSet, boolean binarize, boolean train, boolean shuffle,
long rngSeed) throws IOException {
this(dataSet,binarize,train,shuffle,rngSeed,DL4JResources.getDirectory(ResourceType.DATASET, "EMNIST"));
}
private boolean emnistExists(EmnistFetcher e) {
//Check 4 files:
if (!fetcher.getEmnistDataTrain().existsLocally())
return false;
if (!fetcher.getEmnistLabelsTrain().existsLocally())
return false;
if (!fetcher.getEmnistDataTest().existsLocally())
return false;
if (!fetcher.getEmnistLabelsTest().existsLocally())
return false;
return true;
}
}
© 2015 - 2024 Weber Informatics LLC | Privacy Policy