MapReduce图像输入接口实现

实现图像数据输入MapReduce的接口，供参考。

package hequn.hadoop.image;

import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;

import org.apache.hadoop.io.Writable;

public class ImageWritable implements Writable {

    private int m_width;
    private int m_height;
    private int m_channels;
    private byte[] m_data;

    public int getM_width() {
        return m_width;
    }

    public void setM_width(int m_width) {
        this.m_width = m_width;
    }

    public int getM_height() {
        return m_height;
    }

    public void setM_height(int m_height) {
        this.m_height = m_height;
    }

    public int getM_channels() {
        return m_channels;
    }

    public void setM_channels(int m_channels) {
        this.m_channels = m_channels;
    }

    public byte[] getM_data() {
        return m_data;
    }

    public void setM_data(byte[] m_data) {
        this.m_data = m_data;
    }

    public void readFields(DataInput in) throws IOException {
        // TODO Auto-generated method stub
        int width = in.readInt();
        int height = in.readInt();
        int channels = in.readInt();
        int length = width * height * channels;
        byte[] data = new byte[length];

        for (int i = 0; i < length; ++i) {
            data[i] = in.readByte();
        }

        m_width = width;
        m_height = height;
        m_channels = channels;
        m_data = data;
    }

    public void write(DataOutput out) throws IOException {
        // TODO Auto-generated method stub
        out.writeInt(m_width);
        out.writeInt(m_height);
        out.writeInt(m_channels);

        for (int i = 0; i < m_data.length; ++i) {
            out.writeByte(m_data[i]);
        }

    }

}