com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder Java Examples

public static void main(String[] args) {
  //Change the value of id to an ID value returned by RecognizeCelebrities or GetCelebrityRecognition
   String id = "nnnnnnnn";

   AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();

   GetCelebrityInfoRequest request = new GetCelebrityInfoRequest()
      .withId(id);

   System.out.println("Getting information for celebrity: " + id);

   GetCelebrityInfoResult result=rekognitionClient.getCelebrityInfo(request);

   //Display celebrity information
   System.out.println("celebrity name: " + result.getName());
   System.out.println("Further information (if available):");
   for (String url: result.getUrls()){
      System.out.println(url);
   }
}
 

public static void main(String[] args) throws Exception {
    
    AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
  
    ObjectMapper objectMapper = new ObjectMapper();
  // Search collection for faces matching the face id.
  
  SearchFacesRequest searchFacesRequest = new SearchFacesRequest()
          .withCollectionId(collectionId)
          .withFaceId(faceId)
          .withFaceMatchThreshold(70F)
          .withMaxFaces(2);
       
   SearchFacesResult searchFacesByIdResult = 
           rekognitionClient.searchFaces(searchFacesRequest);

   System.out.println("Face matching faceId " + faceId);
  List < FaceMatch > faceImageMatches = searchFacesByIdResult.getFaceMatches();
  for (FaceMatch face: faceImageMatches) {
     System.out.println(objectMapper.writerWithDefaultPrettyPrinter()
             .writeValueAsString(face));
     
     System.out.println();
  }
}
 

public static void main(String[] args) throws Exception {
   //Change collectionID to the name of the desired collection.
   String collectionId = "CollectionID";
   
   AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();

         
   System.out.println("Describing collection: " +
      collectionId );
      
         
     DescribeCollectionRequest request = new DescribeCollectionRequest()
                 .withCollectionId(collectionId);
        
   DescribeCollectionResult describeCollectionResult = rekognitionClient.describeCollection(request); 
   System.out.println("Collection Arn : " +
      describeCollectionResult.getCollectionARN());
   System.out.println("Face count : " +
      describeCollectionResult.getFaceCount().toString());
   System.out.println("Face model version : " +
      describeCollectionResult.getFaceModelVersion());
   System.out.println("Created : " +
      describeCollectionResult.getCreationTimestamp().toString());

}
 

private RekognitionStreamProcessor(final Regions regions, final AWSCredentialsProvider provider,
                                   final RekognitionInput rekognitionInput) {
    this.streamProcessorName = rekognitionInput.getStreamingProcessorName();
    this.kinesisVideoStreamArn = rekognitionInput.getKinesisVideoStreamArn();
    this.kinesisDataStreamArn = rekognitionInput.getKinesisDataStreamArn();
    this.roleArn = rekognitionInput.getIamRoleArn();
    this.collectionId = rekognitionInput.getFaceCollectionId();
    this.matchThreshold = rekognitionInput.getMatchThreshold();

    rekognitionClient = AmazonRekognitionClientBuilder
            .standard()
            .withRegion(regions)
            .withCredentials(provider)
            .build();
}
 

@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;
}
 

public static void main(String[] args) throws Exception {
   
   AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();

   ObjectMapper objectMapper = new ObjectMapper();

   ListFacesResult listFacesResult = null;
   System.out.println("Faces in collection " + collectionId);

   String paginationToken = null;
   do {
      if (listFacesResult != null) {
         paginationToken = listFacesResult.getNextToken();
      }
      
      ListFacesRequest listFacesRequest = new ListFacesRequest()
              .withCollectionId(collectionId)
              .withMaxResults(1)
              .withNextToken(paginationToken);
     
      listFacesResult =  rekognitionClient.listFaces(listFacesRequest);
      List < Face > faces = listFacesResult.getFaces();
      for (Face face: faces) {
         System.out.println(objectMapper.writerWithDefaultPrettyPrinter()
            .writeValueAsString(face));
      }
   } while (listFacesResult != null && listFacesResult.getNextToken() !=
      null);
}
 

public static void main(String[] args) throws Exception {

        AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();

        Image image = new Image()
                .withS3Object(new S3Object()
                .withBucket(bucket)
                .withName(photo));
        
        IndexFacesRequest indexFacesRequest = new IndexFacesRequest()
                .withImage(image)
                .withQualityFilter(QualityFilter.AUTO)
                .withMaxFaces(1)
                .withCollectionId(collectionId)
                .withExternalImageId(photo)
                .withDetectionAttributes("DEFAULT");

        IndexFacesResult indexFacesResult = rekognitionClient.indexFaces(indexFacesRequest);
        
        System.out.println("Results for " + photo);
        System.out.println("Faces indexed:");
        List<FaceRecord> faceRecords = indexFacesResult.getFaceRecords();
        for (FaceRecord faceRecord : faceRecords) {
            System.out.println("  Face ID: " + faceRecord.getFace().getFaceId());
            System.out.println("  Location:" + faceRecord.getFaceDetail().getBoundingBox().toString());
        }
        
        List<UnindexedFace> unindexedFaces = indexFacesResult.getUnindexedFaces();
        System.out.println("Faces not indexed:");
        for (UnindexedFace unindexedFace : unindexedFaces) {
            System.out.println("  Location:" + unindexedFace.getFaceDetail().getBoundingBox().toString());
            System.out.println("  Reasons:");
            for (String reason : unindexedFace.getReasons()) {
                System.out.println("   " + reason);
            }
        }
    }
 

public static void main(String[] args) throws Exception {


      AmazonRekognition amazonRekognition = AmazonRekognitionClientBuilder.defaultClient();
 

      System.out.println("Listing collections");
      int limit = 10;
      ListCollectionsResult listCollectionsResult = null;
      String paginationToken = null;
      do {
         if (listCollectionsResult != null) {
            paginationToken = listCollectionsResult.getNextToken();
         }
         ListCollectionsRequest listCollectionsRequest = new ListCollectionsRequest()
                 .withMaxResults(limit)
                 .withNextToken(paginationToken);
         listCollectionsResult=amazonRekognition.listCollections(listCollectionsRequest);
         
         List < String > collectionIds = listCollectionsResult.getCollectionIds();
         for (String resultId: collectionIds) {
            System.out.println(resultId);
         }
      } while (listCollectionsResult != null && listCollectionsResult.getNextToken() !=
         null);
     
   }
 

public static void main(String[] args) throws Exception {
   
   //Change the value of bucket to the S3 bucket that contains your image file.
   //Change the value of photo to your image file name.
   String photo = "inputtext.jpg";
   String bucket = "bucket";

   AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();

  
   
   DetectTextRequest request = new DetectTextRequest()
           .withImage(new Image()
           .withS3Object(new S3Object()
           .withName(photo)
           .withBucket(bucket)));
 

   try {
      DetectTextResult result = rekognitionClient.detectText(request);
      List<TextDetection> textDetections = result.getTextDetections();

      System.out.println("Detected lines and words for " + photo);
      for (TextDetection text: textDetections) {
   
              System.out.println("Detected: " + text.getDetectedText());
              System.out.println("Confidence: " + text.getConfidence().toString());
              System.out.println("Id : " + text.getId());
              System.out.println("Parent Id: " + text.getParentId());
              System.out.println("Type: " + text.getType());
              System.out.println();
      }
   } catch(AmazonRekognitionException e) {
      e.printStackTrace();
   }
}
 

public static void main(String[] args) throws Exception
{
  //Change the values of photo and bucket to your values.
   String photo = "input.jpg";
   String bucket = "bucket";
   
   AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
   
   DetectModerationLabelsRequest request = new DetectModerationLabelsRequest()
     .withImage(new Image().withS3Object(new S3Object().withName(photo).withBucket(bucket)))
     .withMinConfidence(60F);
   try
   {
        DetectModerationLabelsResult result = rekognitionClient.detectModerationLabels(request);
        List<ModerationLabel> labels = result.getModerationLabels();
        System.out.println("Detected labels for " + photo);
        for (ModerationLabel label : labels)
        {
           System.out.println("Label: " + label.getName()
            + "\n Confidence: " + label.getConfidence().toString() + "%"
            + "\n Parent:" + label.getParentName());
       }
    }
    catch (AmazonRekognitionException e)
    {
      e.printStackTrace();
    }
 }
 

public static void main(String[] args) throws Exception {
    // Change photo to the path and filename of your image.
	String photo="input.jpg";


    ByteBuffer imageBytes;
    try (InputStream inputStream = new FileInputStream(new File(photo))) {
        imageBytes = ByteBuffer.wrap(IOUtils.toByteArray(inputStream));
    }


    AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();

    DetectLabelsRequest request = new DetectLabelsRequest()
            .withImage(new Image()
                    .withBytes(imageBytes))
            .withMaxLabels(10)
            .withMinConfidence(77F);

    try {

        DetectLabelsResult result = rekognitionClient.detectLabels(request);
        List <Label> labels = result.getLabels();

        System.out.println("Detected labels for " + photo);
        for (Label label: labels) {
           System.out.println(label.getName() + ": " + label.getConfidence().toString());
        }

    } catch (AmazonRekognitionException e) {
        e.printStackTrace();
    }

}
 

public static void main(String[] args) throws Exception {

       AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
        
      ObjectMapper objectMapper = new ObjectMapper();
      
       // Get an image object from S3 bucket.
      Image image=new Image()
              .withS3Object(new S3Object()
                      .withBucket(bucket)
                      .withName(photo));
      
      // Search collection for faces similar to the largest face in the image.
      SearchFacesByImageRequest searchFacesByImageRequest = new SearchFacesByImageRequest()
              .withCollectionId(collectionId)
              .withImage(image)
              .withFaceMatchThreshold(70F)
              .withMaxFaces(2);
           
       SearchFacesByImageResult searchFacesByImageResult = 
               rekognitionClient.searchFacesByImage(searchFacesByImageRequest);

       System.out.println("Faces matching largest face in image from" + photo);
      List < FaceMatch > faceImageMatches = searchFacesByImageResult.getFaceMatches();
      for (FaceMatch face: faceImageMatches) {
          System.out.println(objectMapper.writerWithDefaultPrettyPrinter()
                  .writeValueAsString(face));
         System.out.println();
      }
   }
 

void GetResultsLabels(String startJobId, Context context) throws Exception {

      LambdaLogger logger = context.getLogger();

      AmazonRekognition rek = AmazonRekognitionClientBuilder.standard().withRegion(Regions.US_EAST_1).build();

      int maxResults = 1000;
      String paginationToken = null;
      GetLabelDetectionResult labelDetectionResult = null;
      String labels = "";
      Integer labelsCount = 0;
      String label = "";
      String currentLabel = "";
     
      //Get label detection results and log them. 
      do {

         GetLabelDetectionRequest labelDetectionRequest = new GetLabelDetectionRequest().withJobId(startJobId)
               .withSortBy(LabelDetectionSortBy.NAME).withMaxResults(maxResults).withNextToken(paginationToken);

         labelDetectionResult = rek.getLabelDetection(labelDetectionRequest);
         
         paginationToken = labelDetectionResult.getNextToken();
         VideoMetadata videoMetaData = labelDetectionResult.getVideoMetadata();

         // Add labels to log
         List<LabelDetection> detectedLabels = labelDetectionResult.getLabels();
         
         for (LabelDetection detectedLabel : detectedLabels) {
            label = detectedLabel.getLabel().getName();
            if (label.equals(currentLabel)) {
               continue;
            }
            labels = labels + label + " / ";
            currentLabel = label;
            labelsCount++;

         }
      } while (labelDetectionResult != null && labelDetectionResult.getNextToken() != null);

      logger.log("Total number of labels : " + labelsCount);
      logger.log("labels : " + labels);

   }
 

public static void main(String arg[]) throws Exception {
    //Change the value of bucket to the S3 bucket that contains your image file.
    //Change the value of photo to your image file name.
    String photo = "input.png";
    String bucket = "bucket";
    int height = 0;
    int width = 0;

    // Get the image from an S3 Bucket
    AmazonS3 s3client = AmazonS3ClientBuilder.defaultClient();

    com.amazonaws.services.s3.model.S3Object s3object = s3client.getObject(bucket, photo);
    S3ObjectInputStream inputStream = s3object.getObjectContent();
    BufferedImage image = ImageIO.read(inputStream);
    DetectFacesRequest request = new DetectFacesRequest()
            .withImage(new Image().withS3Object(new S3Object().withName(photo).withBucket(bucket)));

    width = image.getWidth();
    height = image.getHeight();

    // Call DetectFaces    
    AmazonRekognition amazonRekognition = AmazonRekognitionClientBuilder.defaultClient();
    DetectFacesResult result = amazonRekognition.detectFaces(request);
    
    //Show the bounding box info for each face.
    List<FaceDetail> faceDetails = result.getFaceDetails();
    for (FaceDetail face : faceDetails) {

        BoundingBox box = face.getBoundingBox();
        float left = width * box.getLeft();
        float top = height * box.getTop();
        System.out.println("Face:");

        System.out.println("Left: " + String.valueOf((int) left));
        System.out.println("Top: " + String.valueOf((int) top));
        System.out.println("Face Width: " + String.valueOf((int) (width * box.getWidth())));
        System.out.println("Face Height: " + String.valueOf((int) (height * box.getHeight())));
        System.out.println();

    }

    // Create frame and panel.
    JFrame frame = new JFrame("RotateImage");
    frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
    DisplayFaces panel = new DisplayFaces(result, image);
    panel.setPreferredSize(new Dimension(image.getWidth() / scale, image.getHeight() / scale));
    frame.setContentPane(panel);
    frame.pack();
    frame.setVisible(true);

}
 

public static void main(String[] args)  throws Exception{


        sqs = AmazonSQSClientBuilder.defaultClient();
        rek = AmazonRekognitionClientBuilder.defaultClient();
        
        //Change active start function for the desired analysis. Also change the GetResults function later in this code.
        //=================================================
        StartLabels(bucket, video);
        //StartFaces(bucket,video);
        //StartFaceSearchCollection(bucket,video);
        //StartPersons(bucket,video);
        //StartCelebrities(bucket,video);
        //StartModerationLabels(bucket,video);
        //=================================================
        System.out.println("Waiting for job: " + startJobId);
        //Poll queue for messages
        List<Message> messages=null;
        int dotLine=0;
        boolean jobFound=false;

        //loop until the job status is published. Ignore other messages in queue.
        do{
            messages = sqs.receiveMessage(queueUrl).getMessages();
            if (dotLine++<20){
                System.out.print(".");
            }else{
                System.out.println();
                dotLine=0;
            }

            if (!messages.isEmpty()) {
                //Loop through messages received.
                for (Message message: messages) {
                    String notification = message.getBody();

                    // Get status and job id from notification.
                    ObjectMapper mapper = new ObjectMapper();
                    JsonNode jsonMessageTree = mapper.readTree(notification);
                    JsonNode messageBodyText = jsonMessageTree.get("Message");
                    ObjectMapper operationResultMapper = new ObjectMapper();
                    JsonNode jsonResultTree = operationResultMapper.readTree(messageBodyText.textValue());
                    JsonNode operationJobId = jsonResultTree.get("JobId");
                    JsonNode operationStatus = jsonResultTree.get("Status");
                    System.out.println("Job found was " + operationJobId);
                    // Found job. Get the results and display.
                    if(operationJobId.asText().equals(startJobId)){
                        jobFound=true;
                        System.out.println("Job id: " + operationJobId );
                        System.out.println("Status : " + operationStatus.toString());
                        if (operationStatus.asText().equals("SUCCEEDED")){
                            //Change to match the start function earlier in this code.
                            //============================================
                            GetResultsLabels();
                            //GetResultsFaces();
                            //GetResultsFaceSearchCollection();
                            //GetResultsPersons();
                            //GetResultsCelebrities();
                            //GetResultsModerationLabels();
                            //============================================
                        }
                        else{
                            System.out.println("Video analysis failed");
                        }

                        sqs.deleteMessage(queueUrl,message.getReceiptHandle());
                    }

                    else{
                        System.out.println("Job received was not job " +  startJobId);
                        //Delete unknown message. Consider moving message to dead letter queue
                        sqs.deleteMessage(queueUrl,message.getReceiptHandle());
                    }
                }
            }
        } while (!jobFound);


        System.out.println("Done!");
    }
 

public static void main(String[] args) throws Exception {
   // Change bucket to your S3 bucket that contains the image file.
   // Change photo to your image file.
   String photo = "input.jpg";
   String bucket = "bucket";

   AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();


   DetectFacesRequest request = new DetectFacesRequest()
      .withImage(new Image()
         .withS3Object(new S3Object()
            .withName(photo)
            .withBucket(bucket)))
      .withAttributes(Attribute.ALL);
   // Replace Attribute.ALL with Attribute.DEFAULT to get default values.

   try {
      DetectFacesResult result = rekognitionClient.detectFaces(request);
      List < FaceDetail > faceDetails = result.getFaceDetails();

      for (FaceDetail face: faceDetails) {
         if (request.getAttributes().contains("ALL")) {
            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("Here's the complete set of attributes:");
         } else { // non-default attributes have null values.
            System.out.println("Here's the default set of attributes:");
         }

         ObjectMapper objectMapper = new ObjectMapper();
         System.out.println(objectMapper.writerWithDefaultPrettyPrinter().writeValueAsString(face));
      }

   } catch (AmazonRekognitionException e) {
      e.printStackTrace();
   }

}
 

public static void main(String[] args) {
  //Change photo to the path and filename of your image. 
   String photo = "moviestars.jpg";

   AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();

   ByteBuffer imageBytes=null;
   try (InputStream inputStream = new FileInputStream(new File(photo))) {
      imageBytes = ByteBuffer.wrap(IOUtils.toByteArray(inputStream));
   }
   catch(Exception e)
   {
       System.out.println("Failed to load file " + photo);
       System.exit(1);
   }


   RecognizeCelebritiesRequest request = new RecognizeCelebritiesRequest()
      .withImage(new Image()
      .withBytes(imageBytes));

   System.out.println("Looking for celebrities in image " + photo + "\n");

   RecognizeCelebritiesResult result=rekognitionClient.recognizeCelebrities(request);

   //Display recognized celebrity information
   List<Celebrity> celebs=result.getCelebrityFaces();
   System.out.println(celebs.size() + " celebrity(s) were recognized.\n");

   for (Celebrity celebrity: celebs) {
       System.out.println("Celebrity recognized: " + celebrity.getName());
       System.out.println("Celebrity ID: " + celebrity.getId());
       BoundingBox boundingBox=celebrity.getFace().getBoundingBox();
       System.out.println("position: " +
          boundingBox.getLeft().toString() + " " +
          boundingBox.getTop().toString());
       System.out.println("Further information (if available):");
       for (String url: celebrity.getUrls()){
          System.out.println(url);
       }
       System.out.println();
    }
    System.out.println(result.getUnrecognizedFaces().size() + " face(s) were unrecognized.");
}
 

public static void main(String[] args) throws Exception {

      AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
      // Replace collectionId with the ID of the collection that you want to delete.
      String collectionId = "MyCollection";

      System.out.println("Deleting collections");
      
      DeleteCollectionRequest request = new DeleteCollectionRequest()
         .withCollectionId(collectionId);
      DeleteCollectionResult deleteCollectionResult = rekognitionClient.deleteCollection(request);        
  
      System.out.println(collectionId + ": " + deleteCollectionResult.getStatusCode()
         .toString());

   }
 

public static void main(String[] args) throws Exception {


      AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
      
      //Replace collectionId with the name of the collection that you want to create.
      
      String collectionId = "MyCollection";
            System.out.println("Creating collection: " +
         collectionId );
            
        CreateCollectionRequest request = new CreateCollectionRequest()
                    .withCollectionId(collectionId);
           
      CreateCollectionResult createCollectionResult = rekognitionClient.createCollection(request); 
      System.out.println("CollectionArn : " +
         createCollectionResult.getCollectionArn());
      System.out.println("Status code : " +
         createCollectionResult.getStatusCode().toString());

   }
 

public static void main(String[] args) throws Exception {
   
   AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
  
   
   DeleteFacesRequest deleteFacesRequest = new DeleteFacesRequest()
           .withCollectionId(collectionId)
           .withFaceIds(faces);
  
   DeleteFacesResult deleteFacesResult=rekognitionClient.deleteFaces(deleteFacesRequest);
   
  
   List < String > faceRecords = deleteFacesResult.getDeletedFaces();
   System.out.println(Integer.toString(faceRecords.size()) + " face(s) deleted:");
   for (String face: faceRecords) {
      System.out.println("FaceID: " + face);
   }
}
 

public static void main(String[] args) throws Exception {
    // Change bucket and photo to your S3 Bucket and image.
    String photo = "photo";
    String bucket = "bucket";

    AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();

    DetectLabelsRequest request = new DetectLabelsRequest()
            .withImage(new Image().withS3Object(new S3Object().withName(photo).withBucket(bucket)))
            .withMaxLabels(10).withMinConfidence(75F);

    try {
        DetectLabelsResult result = rekognitionClient.detectLabels(request);
        List<Label> labels = result.getLabels();

        System.out.println("Detected labels for " + photo + "\n");
        for (Label label : labels) {
            System.out.println("Label: " + label.getName());
            System.out.println("Confidence: " + label.getConfidence().toString() + "\n");

            List<Instance> instances = label.getInstances();
            System.out.println("Instances of " + label.getName());
            if (instances.isEmpty()) {
                System.out.println("  " + "None");
            } else {
                for (Instance instance : instances) {
                    System.out.println("  Confidence: " + instance.getConfidence().toString());
                    System.out.println("  Bounding box: " + instance.getBoundingBox().toString());
                }
            }
            System.out.println("Parent labels for " + label.getName() + ":");
            List<Parent> parents = label.getParents();
            if (parents.isEmpty()) {
                System.out.println("  None");
            } else {
                for (Parent parent : parents) {
                    System.out.println("  " + parent.getName());
                }
            }
            System.out.println("--------------------");
            System.out.println();
           
        }
    } catch (AmazonRekognitionException e) {
        e.printStackTrace();
    }
}