org.deeplearning4j.datasets.mnist.MnistImageFile Maven / Gradle / Ivy
/*-
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed under the Apache License, Version 2.0 (the "License");
* * you may not use this file except in compliance with the License.
* * You may obtain a copy of the License at
* *
* * http://www.apache.org/licenses/LICENSE-2.0
* *
* * 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.
*
*/
package org.deeplearning4j.datasets.mnist;
import java.io.FileNotFoundException;
import java.io.IOException;
/**
*
* MNIST database image file. Contains additional header information for the
* number of rows and columns per each entry.
*
*/
public class MnistImageFile extends MnistDbFile {
private int rows;
private int cols;
/**
* Creates new MNIST database image file ready for reading.
*
* @param name
* the system-dependent filename
* @param mode
* the access mode
* @throws IOException
* @throws FileNotFoundException
*/
public MnistImageFile(String name, String mode) throws IOException {
super(name, mode);
// read header information
rows = readInt();
cols = readInt();
}
/**
* Reads the image at the current position.
*
* @return matrix representing the image
* @throws IOException
*/
public int[][] readImage() throws IOException {
int[][] dat = new int[getRows()][getCols()];
for (int i = 0; i < getCols(); i++) {
for (int j = 0; j < getRows(); j++) {
dat[i][j] = readUnsignedByte();
}
}
return dat;
}
/** Read the specified number of images from the current position, to a byte[nImages][rows*cols]
* Note that MNIST data set is stored as unsigned bytes; this method returns signed bytes without conversion
* (i.e., same bits, but requires conversion before use)
* @param nImages Number of images
*/
public byte[][] readImagesUnsafe(int nImages) throws IOException {
byte[][] out = new byte[nImages][0];
for (int i = 0; i < nImages; i++) {
out[i] = new byte[rows * cols];
read(out[i]);
}
return out;
}
/**
* Move the cursor to the next image.
*
* @throws IOException
*/
public void nextImage() throws IOException {
super.next();
}
/**
* Move the cursor to the previous image.
*
* @throws IOException
*/
public void prevImage() throws IOException {
super.prev();
}
@Override
protected int getMagicNumber() {
return 2051;
}
/**
* Number of rows per image.
*
* @return int
*/
public int getRows() {
return rows;
}
/**
* Number of columns per image.
*
* @return int
*/
public int getCols() {
return cols;
}
@Override
public int getEntryLength() {
return cols * rows;
}
@Override
public int getHeaderSize() {
return super.getHeaderSize() + 8; // to more integers - rows and columns
}
}
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