org.nd4j.linalg.dataset.api.preprocessor.serializer.ImagePreProcessingSerializerStrategy Maven / Gradle / Ivy
/*
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* * 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.
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* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.dataset.api.preprocessor.serializer;
import org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler;
import java.io.*;
public class ImagePreProcessingSerializerStrategy implements NormalizerSerializerStrategy {
@Override
public void write(ImagePreProcessingScaler normalizer, OutputStream stream) throws IOException {
try(DataOutputStream dataOutputStream = new DataOutputStream(stream)) {
dataOutputStream.writeDouble(normalizer.getMinRange());
dataOutputStream.writeDouble(normalizer.getMaxRange());
dataOutputStream.writeDouble(normalizer.getMaxPixelVal());
dataOutputStream.flush();
}
}
@Override
public ImagePreProcessingScaler restore(InputStream stream) throws IOException {
DataInputStream dataOutputStream = new DataInputStream(stream);
double minRange = dataOutputStream.readDouble();
double maxRange = dataOutputStream.readDouble();
double maxPixelVal = dataOutputStream.readDouble();
ImagePreProcessingScaler ret = new ImagePreProcessingScaler(minRange,maxRange);
ret.setMaxPixelVal(maxPixelVal);
return ret;
}
@Override
public NormalizerType getSupportedType() {
return NormalizerType.IMAGE_MIN_MAX;
}
}