我需要在hbase中读取图像并转换为 opencv 用于人脸检测的垫子。
我的代码如下

public static class FaceCountMapper extends TableMapper<Text, Text> {
private CascadeClassifier faceDetector;

public void setup(Context context) throws IOException, InterruptedException {

    if (context.getCacheFiles() != null && context.getCacheFiles().length > 0) {
        URI mappingFileUri = context.getCacheFiles()[0];

        if (mappingFileUri != null) {
            System.out.println(mappingFileUri);
            faceDetector = new CascadeClassifier(mappingFileUri.toString());

        }
    }

    super.setup(context);
} // setup()

public ArrayList<Object> detectFaces(Mat image, String file_name) {

    ArrayList<Object> facemap = new ArrayList<Object>();

    MatOfRect faceDetections = new MatOfRect();

    faceDetector.detectMultiScale(image, faceDetections);

    System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
    output.put(faceDetections.toArray().length);

    facemap.add(output);

}

return facemap;

}

public void map(ImmutableBytesWritable row, Result result, Context context)
        throws InterruptedException, IOException {

    String file_name = Bytes.toString(result.getValue(Bytes.toBytes("Filename"), Bytes.toBytes("data")));

    String mimetype = Bytes.toString(result.getValue(Bytes.toBytes("mime"), Bytes.toBytes("data")));

    byte[] image_data = result.getValue(Bytes.toBytes("Data"), Bytes.toBytes("data"));

    BufferedImage bi = ImageIO.read(new ByteArrayInputStream(image_data));

    Mat mat = new Mat(bi.getHeight(), bi.getWidth(), CvType.CV_8UC3);

    mat.put(0, 0, image_data);
    detectFaces(mat, file_name);

}

作业配置如下

Configuration conf = this.getConf();
    conf.set("hbase.master", "101.192.0.122:16000");
    conf.set("hbase.zookeeper.quorum", "101.192.0.122");
    conf.setInt("hbase.zookeeper.property.clientPort", 2181);
    conf.set("zookeeper.znode.parent", "/hbase-unsecure");

    // Initialize and configure MapReduce job
    Job job = Job.getInstance(conf);

    job.setJarByClass(FaceCount3.class);
    job.setMapperClass(FaceCountMapper.class);
    job.getConfiguration().set("fs.hdfs.impl", org.apache.hadoop.hdfs.DistributedFileSystem.class.getName());
    job.getConfiguration().set("fs.file.impl", org.apache.hadoop.fs.LocalFileSystem.class.getName());

    Scan scan = new Scan();
    scan.setCaching(500); // 1 is the default in Scan, which will be bad for
                            // MapReduce jobs
    scan.setCacheBlocks(false); // don't set to true for MR jobs

    TableMapReduceUtil.initTableMapperJob("Image", // input HBase table name
            scan, // Scan instance to control CF and attribute selection
            FaceCountMapper.class, // mapper
            null, // mapper output key
            null, // mapper output value
            job);
    job.setOutputFormatClass(NullOutputFormat.class); // because we aren't
                                                        // emitting anything
                                                        // from mapper

    job.addCacheFile(new URI("/user/hduser/haarcascade_frontalface_alt.xml"));
    job.addFileToClassPath(new Path("/user/hduser/hipi-2.1.0.jar"));
    job.addFileToClassPath(new Path("/user/hduser/javacpp.jar"));
    DistributedCache.addFileToClassPath(new Path("/user/hduser/haarcascade_frontalface_alt.xml"), conf);
    conf.set("mapred.job.tracker", "local");
    // Execute the MapReduce job and block until it complets
    boolean success = job.waitForCompletion(true);

    // Return success or failure
    return success ? 0 : 1;

当我跑步的时候
java.lang.exception:java.lang.unsatifiedLinkError:org.opencv.objdetect.cascadeclassifier.cascadeclassifier\u 1（ljava/lang/string；）j
错误。
但是opencv.jar在hadoop\u类路径中提供了