package org.neuroph.samples.convolution.mnist;
import java.io.ByteArrayOutputStream;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
/**
* Represents one Image from MNIST dataset
*/
public class MNISTImage {
private int label;
private byte[] imageData;
/**
* the following constants are defined as per the values described at
* http://yann.lecun.com/exdb/mnist/
**/
private static final int MAGIC_OFFSET = 0; // position of the magic number - its allways first in file
private static final int OFFSET_SIZE = 4; // in bytes ???
private static final int LABEL_MAGIC = 2049; // magic number for labels?
private static final int IMAGE_MAGIC = 2051; // magic number for images?
private static final int NUMBER_ITEMS_OFFSET = 4; // number of images or labels in dataset
private static final int ITEMS_SIZE = 4; // size of rows number 32-bit integer = 4 bytes
public static final int ROWS = 28; // number of image rows
private static final int NUMBER_OF_ROWS_OFFSET = 8; // position of the number of rows
private static final int ROWS_SIZE = 4; // size of rows number 32-bit integer = 4 bytes
public static final int COLUMNS = 28; // number of image columns
private static final int NUMBER_OF_COLUMNS_OFFSET = 12; // position of the number of columns
private static final int COLUMNS_SIZE = 4; // size of columns number 32-bit integer = 4 bytes
private static final int IMAGE_OFFSET = 16; // position where image data starts
private static final int IMAGE_SIZE = ROWS * COLUMNS; // size of the image
public MNISTImage(int label, byte[] imageData) {
this.imageData = imageData;
this.label = label;
}
public int getLabel(){
return label;
}
public byte[] getData(){
return imageData;
}
public int getSize(){
return imageData.length;
}
public static List loadDigitImages(String labelFileName, String imageFileName) throws IOException {
List images = new ArrayList<>();
ByteArrayOutputStream labelBuffer = new ByteArrayOutputStream();
ByteArrayOutputStream imageBuffer = new ByteArrayOutputStream();
InputStream labelInputStream = new FileInputStream(labelFileName);
InputStream imageInputStream = new FileInputStream(imageFileName);
/* InputStream labelInputStream = MNISTDataSet.class.getResourceAsStream(labelFileName);
InputStream imageInputStream = MNISTDataSet.class.getResourceAsStream(imageFileName);*/
int read;
byte[] buffer = new byte[16384];
while ((read = labelInputStream.read(buffer, 0, buffer.length)) != -1) {
labelBuffer.write(buffer, 0, read);
}
labelBuffer.flush();
while ((read = imageInputStream.read(buffer, 0, buffer.length)) != -1) {
imageBuffer.write(buffer, 0, read);
}
imageBuffer.flush();
byte[] labelBytes = labelBuffer.toByteArray();
byte[] imageBytes = imageBuffer.toByteArray();
byte[] labelMagic = Arrays.copyOfRange(labelBytes, 0, OFFSET_SIZE);
byte[] imageMagic = Arrays.copyOfRange(imageBytes, 0, OFFSET_SIZE);
if (ByteBuffer.wrap(labelMagic).getInt() != LABEL_MAGIC) {
throw new IOException("Bad magic number in label file!");
}
if (ByteBuffer.wrap(imageMagic).getInt() != IMAGE_MAGIC) {
throw new IOException("Bad magic number in image file!");
}
int numberOfLabels = ByteBuffer.wrap(Arrays.copyOfRange(labelBytes, NUMBER_ITEMS_OFFSET, NUMBER_ITEMS_OFFSET + ITEMS_SIZE))
.getInt();
int numberOfImages = ByteBuffer.wrap(Arrays.copyOfRange(imageBytes, NUMBER_ITEMS_OFFSET, NUMBER_ITEMS_OFFSET + ITEMS_SIZE))
.getInt();
if (numberOfImages != numberOfLabels) {
throw new IOException("The number of labels and images do not match!");
}
int numRows = ByteBuffer.wrap(Arrays.copyOfRange(imageBytes, NUMBER_OF_ROWS_OFFSET, NUMBER_OF_ROWS_OFFSET + ROWS_SIZE)).getInt();
int numCols = ByteBuffer.wrap(Arrays.copyOfRange(imageBytes, NUMBER_OF_COLUMNS_OFFSET, NUMBER_OF_COLUMNS_OFFSET + COLUMNS_SIZE))
.getInt();
if (numRows != ROWS && numCols != COLUMNS) {
throw new IOException("Bad image. Rows and columns do not equal " + ROWS + "x" + COLUMNS);
}
for (int i = 0; i < numberOfLabels; i++) {
int label = labelBytes[OFFSET_SIZE + ITEMS_SIZE + i];
byte[] imageData = Arrays
.copyOfRange(imageBytes, (i * IMAGE_SIZE) + IMAGE_OFFSET, (i * IMAGE_SIZE) + IMAGE_OFFSET + IMAGE_SIZE);
images.add(new MNISTImage(label, imageData));
}
return images;
}
}
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