use of software.amazon.awssdk.services.rekognition.model.RekognitionException in project aws-doc-sdk-examples by awsdocs.
the class DetectText method detectTextLabels.
// snippet-start:[rekognition.java2.detect_text.main]
public static void detectTextLabels(RekognitionClient rekClient, String sourceImage) {
try {
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();
DetectTextRequest textRequest = DetectTextRequest.builder().image(souImage).build();
DetectTextResponse textResponse = rekClient.detectText(textRequest);
List<TextDetection> textCollection = textResponse.textDetections();
System.out.println("Detected lines and words");
for (TextDetection text : textCollection) {
System.out.println("Detected: " + text.detectedText());
System.out.println("Confidence: " + text.confidence().toString());
System.out.println("Id : " + text.id());
System.out.println("Parent Id: " + text.parentId());
System.out.println("Type: " + text.type());
System.out.println();
}
} 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 ListCollections method listAllCollections.
// snippet-start:[rekognition.java2.list_collections.main]
public static void listAllCollections(RekognitionClient rekClient) {
try {
ListCollectionsRequest listCollectionsRequest = ListCollectionsRequest.builder().maxResults(10).build();
ListCollectionsResponse response = rekClient.listCollections(listCollectionsRequest);
List<String> collectionIds = response.collectionIds();
for (String resultId : collectionIds) {
System.out.println(resultId);
}
} 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 RotateImage method recognizeAllCelebrities.
// snippet-start:[rekognition.java2.recognize_image_orientation.main]
public static void recognizeAllCelebrities(RekognitionClient rekClient, String sourceImage) {
try {
BufferedImage image = null;
InputStream sourceStream = new FileInputStream(sourceImage);
SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream);
image = ImageIO.read(sourceBytes.asInputStream());
int height = image.getHeight();
int width = image.getWidth();
Image souImage = Image.builder().bytes(sourceBytes).build();
RecognizeCelebritiesRequest request = RecognizeCelebritiesRequest.builder().image(souImage).build();
RecognizeCelebritiesResponse result = rekClient.recognizeCelebrities(request);
List<Celebrity> celebs = result.celebrityFaces();
System.out.println(celebs.size() + " celebrity(s) were recognized.\n");
for (Celebrity celebrity : celebs) {
System.out.println("Celebrity recognized: " + celebrity.name());
System.out.println("Celebrity ID: " + celebrity.id());
ComparedFace face = celebrity.face();
ShowBoundingBoxPositions(height, width, face.boundingBox(), result.orientationCorrectionAsString());
}
} catch (RekognitionException | FileNotFoundException e) {
System.out.println(e.getMessage());
System.exit(1);
} catch (IOException e) {
e.printStackTrace();
}
}
use of software.amazon.awssdk.services.rekognition.model.RekognitionException in project aws-doc-sdk-examples by awsdocs.
the class VideoDetect method GetResultsLabels.
// Gets the job results by calling GetLabelDetection
private static void GetResultsLabels(RekognitionClient rekClient) {
int maxResults = 10;
String paginationToken = null;
GetLabelDetectionResponse labelDetectionResult = null;
try {
do {
if (labelDetectionResult != null)
paginationToken = labelDetectionResult.nextToken();
GetLabelDetectionRequest labelDetectionRequest = GetLabelDetectionRequest.builder().jobId(startJobId).sortBy(LabelDetectionSortBy.TIMESTAMP).maxResults(maxResults).nextToken(paginationToken).build();
labelDetectionResult = rekClient.getLabelDetection(labelDetectionRequest);
VideoMetadata videoMetaData = labelDetectionResult.videoMetadata();
System.out.println("Format: " + videoMetaData.format());
System.out.println("Codec: " + videoMetaData.codec());
System.out.println("Duration: " + videoMetaData.durationMillis());
System.out.println("FrameRate: " + videoMetaData.frameRate());
List<LabelDetection> detectedLabels = labelDetectionResult.labels();
for (LabelDetection detectedLabel : detectedLabels) {
long seconds = detectedLabel.timestamp();
Label label = detectedLabel.label();
System.out.println("Millisecond: " + Long.toString(seconds) + " ");
System.out.println(" Label:" + label.name());
System.out.println(" Confidence:" + detectedLabel.label().confidence().toString());
List<Instance> instances = label.instances();
System.out.println(" Instances of " + label.name());
if (instances.isEmpty()) {
System.out.println(" " + "None");
} else {
for (Instance instance : instances) {
System.out.println(" Confidence: " + instance.confidence().toString());
System.out.println(" Bounding box: " + instance.boundingBox().toString());
}
}
System.out.println(" Parent labels for " + label.name() + ":");
List<Parent> parents = label.parents();
if (parents.isEmpty()) {
System.out.println(" None");
} else {
for (Parent parent : parents) {
System.out.println(" " + parent.name());
}
}
System.out.println();
}
} while (labelDetectionResult != null && labelDetectionResult.nextToken() != null);
} 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 VideoDetectInappropriate method startModerationDetection.
// snippet-start:[rekognition.java2.recognize_video_moderation.main]
public static void startModerationDetection(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();
StartContentModerationRequest modDetectionRequest = StartContentModerationRequest.builder().jobTag("Moderation").notificationChannel(channel).video(vidOb).build();
StartContentModerationResponse startModDetectionResult = rekClient.startContentModeration(modDetectionRequest);
startJobId = startModDetectionResult.jobId();
} catch (RekognitionException e) {
System.out.println(e.getMessage());
System.exit(1);
}
}
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