neural-network - 使用Yan Cheng，Cheok的手写数字识别？

Question

我打算将（Yan Cheng, Cheok 的手写数字识别）用于我正在进行的项目，我应该使用他们的数据库进行数字识别，但文件不在他们的网站上，我应该使用一个名为“ LRTBHVtrainingdata.txtI=96H=200LR=0.9M=0.1C=2000.snet”正如他们在教程中所说，但我在他们的网站 (http://yann.lecun.com/exdb/mnist/) 上发现的是四个文件，我不知道如何使用它们？那么关于在哪里获取他们的数据库或在哪里或使用它们的文件有什么帮助吗？

Answer 1

您正在查看的文件是正确的文件。它们是以 20x20 框为中心的归一化灰度图像（0-白色，255-黑色）。该页面解释了文件的结构（只需向下滚动到底部）。

这是我不久前用 Java 编写的一些代码，它读取 MNIST 图像和标签文件：

import net.vivin.digit.DigitImage;    
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

/**
 * Created by IntelliJ IDEA.
 * User: vivin
 * Date: 11/11/11
 * Time: 10:07 AM
 */
public class DigitImageLoadingService {

    private String labelFileName;
    private String imageFileName;

    /** the following constants are defined as per the values described at http://yann.lecun.com/exdb/mnist/ **/

    private static final int MAGIC_OFFSET = 0;
    private static final int OFFSET_SIZE = 4; //in bytes

    private static final int LABEL_MAGIC = 2049;
    private static final int IMAGE_MAGIC = 2051;

    private static final int NUMBER_ITEMS_OFFSET = 4;
    private static final int ITEMS_SIZE = 4;

    private static final int NUMBER_OF_ROWS_OFFSET = 8;
    private static final int ROWS_SIZE = 4;
    public static final int ROWS = 28;

    private static final int NUMBER_OF_COLUMNS_OFFSET = 12;
    private static final int COLUMNS_SIZE = 4;
    public static final int COLUMNS = 28;

    private static final int IMAGE_OFFSET = 16;
    private static final int IMAGE_SIZE = ROWS * COLUMNS;


    public DigitImageLoadingService(String labelFileName, String imageFileName) {
        this.labelFileName = labelFileName;
        this.imageFileName = imageFileName;
    }

    public List<DigitImage> loadDigitImages() throws IOException {
        List<DigitImage> images = new ArrayList<DigitImage>();

        ByteArrayOutputStream labelBuffer = new ByteArrayOutputStream();
        ByteArrayOutputStream imageBuffer = new ByteArrayOutputStream();

        InputStream labelInputStream = this.getClass().getResourceAsStream(labelFileName);
        InputStream imageInputStream = this.getClass().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 && numRows != 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 DigitImage(label, imageData));
        }

        return images;
    }
}