Examples with Image software.amazon.awssdk.services.rekognition.model.Image used on opensource projects

Example 1 with Image

use of software.amazon.awssdk.services.rekognition.model.Image in project aws-doc-sdk-examples by awsdocs.

the class DetectLabels method detectImageLabels.

// snippet-start:[rekognition.java2.detect_labels.main]
public static void detectImageLabels(RekognitionClient rekClient, String sourceImage) {
    try {
        InputStream sourceStream = new URL("https://images.unsplash.com/photo-1557456170-0cf4f4d0d362?ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8bGFrZXxlbnwwfHwwfHw%3D&ixlib=rb-1.2.1&w=1000&q=80").openStream();
        // InputStream sourceStream = new FileInputStream(sourceImage);
        SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream);
        // Create an Image object for the source image.
        Image souImage = Image.builder().bytes(sourceBytes).build();
        DetectLabelsRequest detectLabelsRequest = DetectLabelsRequest.builder().image(souImage).maxLabels(10).build();
        DetectLabelsResponse labelsResponse = rekClient.detectLabels(detectLabelsRequest);
        List<Label> labels = labelsResponse.labels();
        System.out.println("Detected labels for the given photo");
        for (Label label : labels) {
            System.out.println(label.name() + ": " + label.confidence().toString());
        }
    } catch (RekognitionException | FileNotFoundException | MalformedURLException e) {
        System.out.println(e.getMessage());
        System.exit(1);
    } catch (IOException e) {
        e.printStackTrace();
    }
}

Example 2 with Image

use of software.amazon.awssdk.services.rekognition.model.Image in project aws-doc-sdk-examples by awsdocs.

the class DetectModerationLabels method detectModLabels.

// snippet-start:[rekognition.java2.detect_mod_labels.main]
public static void detectModLabels(RekognitionClient rekClient, String sourceImage) {
    try {
        InputStream sourceStream = new FileInputStream(sourceImage);
        SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream);
        Image souImage = Image.builder().bytes(sourceBytes).build();
        DetectModerationLabelsRequest moderationLabelsRequest = DetectModerationLabelsRequest.builder().image(souImage).minConfidence(60F).build();
        DetectModerationLabelsResponse moderationLabelsResponse = rekClient.detectModerationLabels(moderationLabelsRequest);
        // Display the results
        List<ModerationLabel> labels = moderationLabelsResponse.moderationLabels();
        System.out.println("Detected labels for image");
        for (ModerationLabel label : labels) {
            System.out.println("Label: " + label.name() + "\n Confidence: " + label.confidence().toString() + "%" + "\n Parent:" + label.parentName());
        }
    } catch (RekognitionException | FileNotFoundException e) {
        e.printStackTrace();
        System.exit(1);
    }
}

Example 3 with Image

use of software.amazon.awssdk.services.rekognition.model.Image in project aws-doc-sdk-examples by awsdocs.

the class PPEBoundingBoxFrame method displayGear.

// snippet-start:[rekognition.java2.display_mask.main]
public static void displayGear(S3Client s3, RekognitionClient rekClient, String sourceImage, String bucketName) {
    float confidence = 80;
    byte[] data = getObjectBytes(s3, bucketName, sourceImage);
    InputStream is = new ByteArrayInputStream(data);
    try {
        ProtectiveEquipmentSummarizationAttributes summarizationAttributes = ProtectiveEquipmentSummarizationAttributes.builder().minConfidence(70F).requiredEquipmentTypesWithStrings("FACE_COVER").build();
        SdkBytes sourceBytes = SdkBytes.fromInputStream(is);
        image = ImageIO.read(sourceBytes.asInputStream());
        // Create an Image object for the source image.
        software.amazon.awssdk.services.rekognition.model.Image souImage = Image.builder().bytes(sourceBytes).build();
        DetectProtectiveEquipmentRequest request = DetectProtectiveEquipmentRequest.builder().image(souImage).summarizationAttributes(summarizationAttributes).build();
        DetectProtectiveEquipmentResponse result = rekClient.detectProtectiveEquipment(request);
        // Create frame and panel.
        JFrame frame = new JFrame("Detect PPE");
        frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        PPEBoundingBoxFrame panel = new PPEBoundingBoxFrame(result, image, confidence);
        panel.setPreferredSize(new Dimension(image.getWidth() / scale, image.getHeight() / scale));
        frame.setContentPane(panel);
        frame.pack();
        frame.setVisible(true);
    } catch (RekognitionException e) {
        e.printStackTrace();
        System.exit(1);
    } catch (IOException e) {
        e.printStackTrace();
    } catch (Exception e) {
        e.printStackTrace();
    }
}

Example 4 with Image

use of software.amazon.awssdk.services.rekognition.model.Image in project aws-doc-sdk-examples by awsdocs.

the class SearchFaceMatchingImageCollection method searchFaceInCollection.

// snippet-start:[rekognition.java2.search_faces_collection.main]
public static void searchFaceInCollection(RekognitionClient rekClient, String collectionId, String sourceImage) {
    try {
        InputStream sourceStream = new FileInputStream(new File(sourceImage));
        SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream);
        Image souImage = Image.builder().bytes(sourceBytes).build();
        SearchFacesByImageRequest facesByImageRequest = SearchFacesByImageRequest.builder().image(souImage).maxFaces(10).faceMatchThreshold(70F).collectionId(collectionId).build();
        SearchFacesByImageResponse imageResponse = rekClient.searchFacesByImage(facesByImageRequest);
        // Display the results.
        System.out.println("Faces matching in the collection");
        List<FaceMatch> faceImageMatches = imageResponse.faceMatches();
        for (FaceMatch face : faceImageMatches) {
            System.out.println("The similarity level is  " + face.similarity());
            System.out.println();
        }
    } catch (RekognitionException | FileNotFoundException e) {
        System.out.println(e.getMessage());
        System.exit(1);
    }
}

Example 5 with Image

use of software.amazon.awssdk.services.rekognition.model.Image in project aws-doc-sdk-examples by awsdocs.

the class DetectFaces method detectFacesinImage.

// snippet-start:[rekognition.java2.detect_faces.main]
public static void detectFacesinImage(RekognitionClient rekClient, String sourceImage) {
    try {
        InputStream sourceStream = new FileInputStream(new File(sourceImage));
        SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream);
        // Create an Image object for the source image.
        Image souImage = Image.builder().bytes(sourceBytes).build();
        DetectFacesRequest facesRequest = DetectFacesRequest.builder().attributes(Attribute.ALL).image(souImage).build();
        DetectFacesResponse facesResponse = rekClient.detectFaces(facesRequest);
        List<FaceDetail> faceDetails = facesResponse.faceDetails();
        for (FaceDetail face : faceDetails) {
            AgeRange ageRange = face.ageRange();
            System.out.println("The detected face is estimated to be between " + ageRange.low().toString() + " and " + ageRange.high().toString() + " years old.");
            System.out.println("There is a smile : " + face.smile().value().toString());
        }
    } catch (RekognitionException | FileNotFoundException e) {
        System.out.println(e.getMessage());
        System.exit(1);
    }
}