org.deeplearning4j.datasets.MnistManager Maven / Gradle / Ivy
package org.deeplearning4j.datasets;
import java.io.BufferedWriter;
import java.io.FileWriter;
import java.io.IOException;
/**
*
* Utility class for working with the MNIST database.
*
* Provides methods for traversing the images and labels data files separately,
* as well as simultaneously.
*
* Provides also method for exporting an image by writing it as a PPM file.
*
* Example usage:
*
* MnistManager m = new MnistManager("t10k-images.idx3-ubyte", "t10k-labels.idx1-ubyte");
* m.setCurrent(10); //index of the image that we are interested in
* int[][] image = m.readImage();
* System.out.println("Label:" + m.readLabel());
* MnistManager.writeImageToPpm(image, "10.ppm");
*
*/
public class MnistManager {
private MnistImageFile images;
private MnistLabelFile labels;
/**
* Writes the given image in the given file using the PPM data format.
*
* @param image
* @param ppmFileName
* @throws IOException
*/
public static void writeImageToPpm(int[][] image, String ppmFileName) throws IOException {
BufferedWriter ppmOut = null;
try {
ppmOut = new BufferedWriter(new FileWriter(ppmFileName));
int rows = image.length;
int cols = image[0].length;
ppmOut.write("P3\n");
ppmOut.write("" + rows + " " + cols + " 255\n");
for (int i = 0; i < rows; i++) {
StringBuffer s = new StringBuffer();
for (int j = 0; j < cols; j++) {
s.append(image[i][j] + " " + image[i][j] + " " + image[i][j] + " ");
}
ppmOut.write(s.toString());
}
} finally {
ppmOut.close();
}
}
/**
* Constructs an instance managing the two given data files. Supports
* NULL
value for one of the arguments in case reading only one
* of the files (images and labels) is required.
*
* @param imagesFile
* Can be NULL
. In that case all future operations
* using that file will fail.
* @param labelsFile
* Can be NULL
. In that case all future operations
* using that file will fail.
* @throws IOException
*/
public MnistManager(String imagesFile, String labelsFile) throws IOException {
if (imagesFile != null) {
images = new MnistImageFile(imagesFile, "r");
}
if (labelsFile != null) {
labels = new MnistLabelFile(labelsFile, "r");
}
}
/**
* Reads the current image.
*
* @return matrix
* @throws IOException
*/
public int[][] readImage() throws IOException {
if (images == null) {
throw new IllegalStateException("Images file not initialized.");
}
return images.readImage();
}
/**
* Set the position to be read.
*
* @param index
*/
public void setCurrent(int index) {
images.setCurrentIndex(index);
labels.setCurrentIndex(index);
}
/**
* Reads the current label.
*
* @return int
* @throws IOException
*/
public int readLabel() throws IOException {
if (labels == null) {
throw new IllegalStateException("labels file not initialized.");
}
return labels.readLabel();
}
/**
* Get the underlying images file as {@link MnistImageFile}.
*
* @return {@link MnistImageFile}.
*/
public MnistImageFile getImages() {
return images;
}
/**
* Get the underlying labels file as {@link MnistLabelFile}.
*
* @return {@link MnistLabelFile}.
*/
public MnistLabelFile getLabels() {
return labels;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy