use of software.amazon.awssdk.core.SdkBytes 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);
}
}
use of software.amazon.awssdk.core.SdkBytes 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();
}
}
use of software.amazon.awssdk.core.SdkBytes 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);
}
}
use of software.amazon.awssdk.core.SdkBytes 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);
}
}
use of software.amazon.awssdk.core.SdkBytes in project aws-doc-sdk-examples by awsdocs.
the class DetectPPE method displayGear.
// snippet-start:[rekognition.java2.detect_ppe.main]
public static void displayGear(S3Client s3, RekognitionClient rekClient, String sourceImage, String bucketName) {
byte[] data = getObjectBytes(s3, bucketName, sourceImage);
InputStream is = new ByteArrayInputStream(data);
try {
ProtectiveEquipmentSummarizationAttributes summarizationAttributes = ProtectiveEquipmentSummarizationAttributes.builder().minConfidence(80F).requiredEquipmentTypesWithStrings("FACE_COVER", "HAND_COVER", "HEAD_COVER").build();
SdkBytes sourceBytes = SdkBytes.fromInputStream(is);
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);
List<ProtectiveEquipmentPerson> persons = result.persons();
for (ProtectiveEquipmentPerson person : persons) {
System.out.println("ID: " + person.id());
List<ProtectiveEquipmentBodyPart> bodyParts = person.bodyParts();
if (bodyParts.isEmpty()) {
System.out.println("\tNo body parts detected");
} else
for (ProtectiveEquipmentBodyPart bodyPart : bodyParts) {
System.out.println("\t" + bodyPart.name() + ". Confidence: " + bodyPart.confidence().toString());
List<EquipmentDetection> equipmentDetections = bodyPart.equipmentDetections();
if (equipmentDetections.isEmpty()) {
System.out.println("\t\tNo PPE Detected on " + bodyPart.name());
} else {
for (EquipmentDetection item : equipmentDetections) {
System.out.println("\t\tItem: " + item.type() + ". Confidence: " + item.confidence().toString());
System.out.println("\t\tCovers body part: " + item.coversBodyPart().value().toString() + ". Confidence: " + item.coversBodyPart().confidence().toString());
System.out.println("\t\tBounding Box");
BoundingBox box = item.boundingBox();
System.out.println("\t\tLeft: " + box.left().toString());
System.out.println("\t\tTop: " + box.top().toString());
System.out.println("\t\tWidth: " + box.width().toString());
System.out.println("\t\tHeight: " + box.height().toString());
System.out.println("\t\tConfidence: " + item.confidence().toString());
System.out.println();
}
}
}
}
System.out.println("Person ID Summary\n-----------------");
DisplaySummary("With required equipment", result.summary().personsWithRequiredEquipment());
DisplaySummary("Without required equipment", result.summary().personsWithoutRequiredEquipment());
DisplaySummary("Indeterminate", result.summary().personsIndeterminate());
} catch (RekognitionException e) {
e.printStackTrace();
System.exit(1);
} catch (Exception e) {
e.printStackTrace();
}
}
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