Java 类com.amazonaws.services.rekognition.model.Image 实例源码

private void processTask(Message message) {
    String path = message.getBody();
    PathSplit pathComp = new PathSplit(path);
    String bucket = pathComp.bucket;
    String key = pathComp.key;
    Logger.Info("Processing %s %s", bucket, key);

    // Rekognition: Detect Labels from S3 object
    DetectLabelsRequest req = new DetectLabelsRequest()
        .withImage(new Image().withS3Object(new S3Object().withBucket(bucket).withName(key)))
        .withMinConfidence(minConfidence);
    DetectLabelsResult result;
    result = rek.detectLabels(req);
    List<Label> labels = result.getLabels();
    Logger.Debug("In %s, found: %s", key, labels);

    // Process downstream actions:
    for (LabelProcessor processor : processors) {
        processor.process(labels, path);
    }
}

@Override
public Parameters handleRequest(Parameters parameters, Context context) {

    context.getLogger().log("Input Function [" + context.getFunctionName() + 
            "], Parameters [" + parameters + "]");

    // Create Rekognition client using the parameters available form the runtime context
    AmazonRekognition rekognitionClient = 
            AmazonRekognitionClientBuilder.defaultClient();

    // Create a Rekognition request
    DetectLabelsRequest request = new DetectLabelsRequest().withImage(new Image()
            .withS3Object(new S3Object().withName(parameters.getS3key())
                    .withBucket(parameters.getS3Bucket())));

    // Call the Rekognition Service
    DetectLabelsResult result = rekognitionClient.detectLabels(request);

    // Transfer labels and confidence scores over to Parameter POJO
    for (Label label : result.getLabels()) {
        parameters.getRekognitionLabels().put(label.getName(), label.getConfidence());
    }

    context.getLogger().log("Output Function [" + context.getFunctionName() +
            "], Parameters [" + parameters + "]");

    // Return the result (will be serialised to JSON)
    return parameters;
}

/**
 * Hopefully, Label is serializable, otherwise it needs to return a list of
 * POJOs.
 * 
 * @return
 */
public List<Label> getLabels(ByteBuffer imageBytes) {
  AmazonRekognition client = getClient();
  DetectLabelsRequest request = new DetectLabelsRequest().withImage(new Image().withBytes(imageBytes)).withMaxLabels(maxLabels).withMinConfidence(minConfidence);
  DetectLabelsResult result = client.detectLabels(request);
  List<Label> labels = result.getLabels();
  lastImage = imageBytes;
  lastLabels = labels;
  return labels;
}

public List<FaceDetail> getFaces(ByteBuffer imageBytes, Integer width, Integer height){

  DetectFacesRequest request = new DetectFacesRequest()
      .withImage(new Image()
         .withBytes((imageBytes)))
      .withAttributes(Attribute.ALL);


 DetectFacesResult result = getClient().detectFaces(request);
 System.out.println("Orientation: " + result.getOrientationCorrection() + "\n");
 List <FaceDetail> faceDetails = result.getFaceDetails();

 for (FaceDetail face: faceDetails) {
   System.out.println("Face:");
     ShowBoundingBoxPositions(height,
             width,
             face.getBoundingBox(),
             result.getOrientationCorrection());
     AgeRange ageRange = face.getAgeRange();
     System.out.println("The detected face is estimated to be between "
          + ageRange.getLow().toString() + " and " + ageRange.getHigh().toString()
          + " years old.");
       System.out.println();
  }

 return faceDetails;

}