Examples with Image com.amazonaws.services.rekognition.model.Image used on opensource projects

Example 11 with Image

use of com.amazonaws.services.rekognition.model.Image in project amplify-android by aws-amplify.

the class AWSRekognitionService method detectModerationLabels.

private List<Label> detectModerationLabels(ByteBuffer imageData) throws PredictionsException {
    DetectModerationLabelsRequest request = new DetectModerationLabelsRequest().withImage(new Image().withBytes(imageData));
    // Detect moderation labels in the given image via Amazon Rekognition
    final DetectModerationLabelsResult result;
    try {
        result = rekognition.detectModerationLabels(request);
    } catch (AmazonClientException serviceException) {
        throw new PredictionsException("Amazon Rekognition encountered an error while detecting moderation labels.", serviceException, "See attached service exception for more details.");
    }
    List<Label> labels = new ArrayList<>();
    for (ModerationLabel moderationLabel : result.getModerationLabels()) {
        Label label = Label.builder().value(moderationLabel.getName()).confidence(moderationLabel.getConfidence()).parentLabels(Collections.singletonList(moderationLabel.getParentName())).build();
        labels.add(label);
    }
    return labels;
}

Example 12 with Image

use of com.amazonaws.services.rekognition.model.Image in project amplify-android by aws-amplify.

the class AWSRekognitionService method detectEntityMatches.

private List<EntityMatch> detectEntityMatches(ByteBuffer imageData, int maxEntities, String collectionId) throws PredictionsException {
    SearchFacesByImageRequest request = new SearchFacesByImageRequest().withImage(new Image().withBytes(imageData)).withMaxFaces(maxEntities).withCollectionId(collectionId);
    // Detect entities in the given image by matching against a collection of images
    final SearchFacesByImageResult result;
    try {
        result = rekognition.searchFacesByImage(request);
    } catch (AmazonClientException serviceException) {
        throw new PredictionsException("Amazon Rekognition encountered an error while searching for known faces.", serviceException, "See attached service exception for more details.");
    }
    List<EntityMatch> matches = new ArrayList<>();
    for (FaceMatch rekognitionMatch : result.getFaceMatches()) {
        Face face = rekognitionMatch.getFace();
        RectF box = RekognitionResultTransformers.fromBoundingBox(face.getBoundingBox());
        EntityMatch amplifyMatch = EntityMatch.builder().externalImageId(face.getExternalImageId()).confidence(rekognitionMatch.getSimilarity()).box(box).build();
        matches.add(amplifyMatch);
    }
    return matches;
}

Example 13 with Image

use of com.amazonaws.services.rekognition.model.Image in project amplify-android by aws-amplify.

the class AWSRekognitionService method detectCelebrities.

private List<CelebrityDetails> detectCelebrities(ByteBuffer imageData) throws PredictionsException {
    RecognizeCelebritiesRequest request = new RecognizeCelebritiesRequest().withImage(new Image().withBytes(imageData));
    // Recognize celebrities in the given image via Amazon Rekognition
    final RecognizeCelebritiesResult result;
    try {
        result = rekognition.recognizeCelebrities(request);
    } catch (AmazonClientException serviceException) {
        throw new PredictionsException("Amazon Rekognition encountered an error while recognizing celebrities.", serviceException, "See attached service exception for more details.");
    }
    List<CelebrityDetails> celebrities = new ArrayList<>();
    for (com.amazonaws.services.rekognition.model.Celebrity rekognitionCelebrity : result.getCelebrityFaces()) {
        Celebrity amplifyCelebrity = Celebrity.builder().id(rekognitionCelebrity.getId()).value(rekognitionCelebrity.getName()).confidence(rekognitionCelebrity.getMatchConfidence()).build();
        // Get face-specific celebrity details from the result
        ComparedFace face = rekognitionCelebrity.getFace();
        RectF box = RekognitionResultTransformers.fromBoundingBox(face.getBoundingBox());
        Pose pose = RekognitionResultTransformers.fromRekognitionPose(face.getPose());
        List<Landmark> landmarks = RekognitionResultTransformers.fromLandmarks(face.getLandmarks());
        // Get URL links that are relevant to celebrities
        List<URL> urls = new ArrayList<>();
        for (String url : rekognitionCelebrity.getUrls()) {
            try {
                urls.add(new URL(url));
            } catch (MalformedURLException badUrl) {
            // Ignore bad URL
            }
        }
        CelebrityDetails details = CelebrityDetails.builder().celebrity(amplifyCelebrity).box(box).pose(pose).landmarks(landmarks).urls(urls).build();
        celebrities.add(details);
    }
    return celebrities;
}

Example 14 with Image

use of com.amazonaws.services.rekognition.model.Image in project amplify-android by aws-amplify.

the class AWSRekognitionService method detectEntities.

private List<EntityDetails> detectEntities(ByteBuffer imageData) throws PredictionsException {
    DetectFacesRequest request = new DetectFacesRequest().withImage(new Image().withBytes(imageData)).withAttributes(Attribute.ALL.toString());
    // Detect entities in the given image via Amazon Rekognition
    final DetectFacesResult result;
    try {
        result = rekognition.detectFaces(request);
    } catch (AmazonClientException serviceException) {
        throw new PredictionsException("Amazon Rekognition encountered an error while detecting faces.", serviceException, "See attached service exception for more details.");
    }
    List<EntityDetails> entities = new ArrayList<>();
    for (FaceDetail face : result.getFaceDetails()) {
        // Extract details from face detection
        RectF box = RekognitionResultTransformers.fromBoundingBox(face.getBoundingBox());
        AgeRange ageRange = RekognitionResultTransformers.fromRekognitionAgeRange(face.getAgeRange());
        Pose pose = RekognitionResultTransformers.fromRekognitionPose(face.getPose());
        List<Landmark> landmarks = RekognitionResultTransformers.fromLandmarks(face.getLandmarks());
        List<BinaryFeature> features = RekognitionResultTransformers.fromFaceDetail(face);
        // Gender detection
        com.amazonaws.services.rekognition.model.Gender rekognitionGender = face.getGender();
        Gender amplifyGender = Gender.builder().value(GenderBinaryTypeAdapter.fromRekognition(rekognitionGender.getValue())).confidence(rekognitionGender.getConfidence()).build();
        // Emotion detection
        List<Emotion> emotions = new ArrayList<>();
        for (com.amazonaws.services.rekognition.model.Emotion rekognitionEmotion : face.getEmotions()) {
            EmotionType emotion = EmotionTypeAdapter.fromRekognition(rekognitionEmotion.getType());
            Emotion amplifyEmotion = Emotion.builder().value(emotion).confidence(rekognitionEmotion.getConfidence()).build();
            emotions.add(amplifyEmotion);
        }
        Collections.sort(emotions, Collections.reverseOrder());
        EntityDetails entity = EntityDetails.builder().box(box).ageRange(ageRange).pose(pose).gender(amplifyGender).landmarks(landmarks).emotions(emotions).features(features).build();
        entities.add(entity);
    }
    return entities;
}

Example 15 with Image

use of com.amazonaws.services.rekognition.model.Image in project aws-doc-sdk-examples by awsdocs.

the class CompareFaces method main.

public static void main(String[] args) throws Exception {
    Float similarityThreshold = 70F;
    // Replace sourceFile and targetFile with the image files you want to compare.
    String sourceImage = "source.jpg";
    String targetImage = "target.jpg";
    ByteBuffer sourceImageBytes = null;
    ByteBuffer targetImageBytes = null;
    AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
    // Load source and target images and create input parameters
    try (InputStream inputStream = new FileInputStream(new File(sourceImage))) {
        sourceImageBytes = ByteBuffer.wrap(IOUtils.toByteArray(inputStream));
    } catch (Exception e) {
        System.out.println("Failed to load source image " + sourceImage);
        System.exit(1);
    }
    try (InputStream inputStream = new FileInputStream(new File(targetImage))) {
        targetImageBytes = ByteBuffer.wrap(IOUtils.toByteArray(inputStream));
    } catch (Exception e) {
        System.out.println("Failed to load target images: " + targetImage);
        System.exit(1);
    }
    Image source = new Image().withBytes(sourceImageBytes);
    Image target = new Image().withBytes(targetImageBytes);
    CompareFacesRequest request = new CompareFacesRequest().withSourceImage(source).withTargetImage(target).withSimilarityThreshold(similarityThreshold);
    // Call operation
    CompareFacesResult compareFacesResult = rekognitionClient.compareFaces(request);
    // Display results
    List<CompareFacesMatch> faceDetails = compareFacesResult.getFaceMatches();
    for (CompareFacesMatch match : faceDetails) {
        ComparedFace face = match.getFace();
        BoundingBox position = face.getBoundingBox();
        System.out.println("Face at " + position.getLeft().toString() + " " + position.getTop() + " matches with " + face.getConfidence().toString() + "% confidence.");
    }
    List<ComparedFace> uncompared = compareFacesResult.getUnmatchedFaces();
    System.out.println("There was " + uncompared.size() + " face(s) that did not match");
    System.out.println("Source image rotation: " + compareFacesResult.getSourceImageOrientationCorrection());
    System.out.println("target image rotation: " + compareFacesResult.getTargetImageOrientationCorrection());
}