use of software.amazon.awssdk.services.rekognition.model.RekognitionException in project aws-doc-sdk-examples by awsdocs.
the class SearchFaceMatchingIdCollection method searchFacebyId.
// snippet-start:[rekognition.java2.match_faces_collection.main]
public static void searchFacebyId(RekognitionClient rekClient, String collectionId, String faceId) {
try {
SearchFacesRequest searchFacesRequest = SearchFacesRequest.builder().collectionId(collectionId).faceId(faceId).faceMatchThreshold(70F).maxFaces(2).build();
SearchFacesResponse imageResponse = rekClient.searchFaces(searchFacesRequest);
// 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 e) {
System.out.println(e.getMessage());
System.exit(1);
}
}
use of software.amazon.awssdk.services.rekognition.model.RekognitionException in project aws-doc-sdk-examples by awsdocs.
the class VideoDetectSegment method StartSegmentDetection.
// snippet-start:[rekognition.java2.recognize_video_segments.main]
public static void StartSegmentDetection(RekognitionClient rekClient, NotificationChannel channel, String bucket, String video) {
try {
S3Object s3Obj = S3Object.builder().bucket(bucket).name(video).build();
Video vidOb = Video.builder().s3Object(s3Obj).build();
StartShotDetectionFilter cueDetectionFilter = StartShotDetectionFilter.builder().minSegmentConfidence(60F).build();
StartTechnicalCueDetectionFilter technicalCueDetectionFilter = StartTechnicalCueDetectionFilter.builder().minSegmentConfidence(60F).build();
StartSegmentDetectionFilters filters = StartSegmentDetectionFilters.builder().shotFilter(cueDetectionFilter).technicalCueFilter(technicalCueDetectionFilter).build();
StartSegmentDetectionRequest segDetectionRequest = StartSegmentDetectionRequest.builder().jobTag("DetectingLabels").notificationChannel(channel).segmentTypes(SegmentType.TECHNICAL_CUE, SegmentType.SHOT).video(vidOb).filters(filters).build();
StartSegmentDetectionResponse segDetectionResponse = rekClient.startSegmentDetection(segDetectionRequest);
startJobId = segDetectionResponse.jobId();
} catch (RekognitionException e) {
e.getMessage();
System.exit(1);
}
}
use of software.amazon.awssdk.services.rekognition.model.RekognitionException in project aws-doc-sdk-examples by awsdocs.
the class AddFacesToCollection method addToCollection.
// snippet-start:[rekognition.java2.add_faces_collection.main]
public static void addToCollection(RekognitionClient rekClient, String collectionId, String sourceImage) {
try {
InputStream sourceStream = new FileInputStream(sourceImage);
SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream);
Image souImage = Image.builder().bytes(sourceBytes).build();
IndexFacesRequest facesRequest = IndexFacesRequest.builder().collectionId(collectionId).image(souImage).maxFaces(1).qualityFilter(QualityFilter.AUTO).detectionAttributes(Attribute.DEFAULT).build();
IndexFacesResponse facesResponse = rekClient.indexFaces(facesRequest);
// Display the results.
System.out.println("Results for the image");
System.out.println("\n Faces indexed:");
List<FaceRecord> faceRecords = facesResponse.faceRecords();
for (FaceRecord faceRecord : faceRecords) {
System.out.println(" Face ID: " + faceRecord.face().faceId());
System.out.println(" Location:" + faceRecord.faceDetail().boundingBox().toString());
}
List<UnindexedFace> unindexedFaces = facesResponse.unindexedFaces();
System.out.println("Faces not indexed:");
for (UnindexedFace unindexedFace : unindexedFaces) {
System.out.println(" Location:" + unindexedFace.faceDetail().boundingBox().toString());
System.out.println(" Reasons:");
for (Reason reason : unindexedFace.reasons()) {
System.out.println("Reason: " + reason);
}
}
} catch (RekognitionException | FileNotFoundException e) {
System.out.println(e.getMessage());
System.exit(1);
}
}
use of software.amazon.awssdk.services.rekognition.model.RekognitionException in project aws-doc-sdk-examples by awsdocs.
the class CompareFaces method compareTwoFaces.
// snippet-start:[rekognition.java2.compare_faces.main]
public static void compareTwoFaces(RekognitionClient rekClient, Float similarityThreshold, String sourceImage, String targetImage) {
try {
InputStream sourceStream = new FileInputStream(sourceImage);
InputStream tarStream = new FileInputStream(targetImage);
SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream);
SdkBytes targetBytes = SdkBytes.fromInputStream(tarStream);
// Create an Image object for the source image.
Image souImage = Image.builder().bytes(sourceBytes).build();
Image tarImage = Image.builder().bytes(targetBytes).build();
CompareFacesRequest facesRequest = CompareFacesRequest.builder().sourceImage(souImage).targetImage(tarImage).similarityThreshold(similarityThreshold).build();
// Compare the two images.
CompareFacesResponse compareFacesResult = rekClient.compareFaces(facesRequest);
List<CompareFacesMatch> faceDetails = compareFacesResult.faceMatches();
for (CompareFacesMatch match : faceDetails) {
ComparedFace face = match.face();
BoundingBox position = face.boundingBox();
System.out.println("Face at " + position.left().toString() + " " + position.top() + " matches with " + face.confidence().toString() + "% confidence.");
}
List<ComparedFace> uncompared = compareFacesResult.unmatchedFaces();
System.out.println("There was " + uncompared.size() + " face(s) that did not match");
System.out.println("Source image rotation: " + compareFacesResult.sourceImageOrientationCorrection());
System.out.println("target image rotation: " + compareFacesResult.targetImageOrientationCorrection());
} catch (RekognitionException | FileNotFoundException e) {
System.out.println("Failed to load source image " + sourceImage);
System.exit(1);
}
}
use of software.amazon.awssdk.services.rekognition.model.RekognitionException in project aws-doc-sdk-examples by awsdocs.
the class DeleteFacesFromCollection method deleteFacesCollection.
// snippet-start:[rekognition.java2.delete_faces_collection.main]
public static void deleteFacesCollection(RekognitionClient rekClient, String collectionId, String faceId) {
try {
DeleteFacesRequest deleteFacesRequest = DeleteFacesRequest.builder().collectionId(collectionId).faceIds(faceId).build();
rekClient.deleteFaces(deleteFacesRequest);
System.out.println("The face was deleted from the collection.");
} catch (RekognitionException e) {
System.out.println(e.getMessage());
System.exit(1);
}
}
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