use of software.amazon.awssdk.services.rekognition.model.NotificationChannel in project aws-doc-sdk-examples by awsdocs.
the class VideoCelebrityDetection method main.
public static void main(String[] args) {
final String USAGE = "\n" + "Usage: " + " <bucket> <video> <topicArn> <roleArn>\n\n" + "Where:\n" + " bucket - the name of the bucket in which the video is located (for example, (for example, myBucket). \n\n" + " video - the name of video (for example, people.mp4). \n\n" + " topicArn - the ARN of the Amazon Simple Notification Service (Amazon SNS) topic. \n\n" + " roleArn - the ARN of the AWS Identity and Access Management (IAM) role to use. \n\n";
if (args.length != 4) {
System.out.println(USAGE);
System.exit(1);
}
String bucket = args[0];
String video = args[1];
String topicArn = args[2];
String roleArn = args[3];
Region region = Region.US_EAST_1;
RekognitionClient rekClient = RekognitionClient.builder().region(region).build();
NotificationChannel channel = NotificationChannel.builder().snsTopicArn(topicArn).roleArn(roleArn).build();
StartCelebrityDetection(rekClient, channel, bucket, video);
GetCelebrityDetectionResults(rekClient);
System.out.println("This example is done!");
rekClient.close();
}
use of software.amazon.awssdk.services.rekognition.model.NotificationChannel in project aws-doc-sdk-examples by awsdocs.
the class VideoPersonDetection method main.
public static void main(String[] args) {
final String USAGE = "\n" + "Usage: " + " <bucket> <video> <topicArn> <roleArn>\n\n" + "Where:\n" + " bucket - the name of the bucket in which the video is located (for example, (for example, myBucket). \n\n" + " video - the name of video (for example, people.mp4). \n\n" + " topicArn - the ARN of the Amazon Simple Notification Service (Amazon SNS) topic. \n\n" + " roleArn - the ARN of the AWS Identity and Access Management (IAM) role to use. \n\n";
if (args.length != 4) {
System.out.println(USAGE);
System.exit(1);
}
String bucket = args[0];
String video = args[1];
String topicArn = args[2];
String roleArn = args[3];
Region region = Region.US_EAST_1;
RekognitionClient rekClient = RekognitionClient.builder().region(region).build();
NotificationChannel channel = NotificationChannel.builder().snsTopicArn(topicArn).roleArn(roleArn).build();
startPersonLabels(rekClient, channel, bucket, video);
GetPersonDetectionResults(rekClient);
System.out.println("This example is done!");
rekClient.close();
}
use of software.amazon.awssdk.services.rekognition.model.NotificationChannel in project aws-doc-sdk-examples by awsdocs.
the class VideoDetect method main.
public static void main(String[] args) {
final String USAGE = "\n" + "Usage: " + " <bucket> <video> <queueUrl> <topicArn> <roleArn>\n\n" + "Where:\n" + " bucket - the name of the bucket in which the video is located (for example, (for example, myBucket). \n\n" + " video - the name of the video (for example, people.mp4). \n\n" + " queueUrl- the URL of a SQS queue. \n\n" + " topicArn - the ARN of the Amazon Simple Notification Service (Amazon SNS) topic. \n\n" + " roleArn - the ARN of the AWS Identity and Access Management (IAM) role to use. \n\n";
if (args.length != 5) {
System.out.println(USAGE);
System.exit(1);
}
String bucket = args[0];
String video = args[1];
String queueUrl = args[2];
String topicArn = args[3];
String roleArn = args[4];
Region region = Region.US_EAST_1;
RekognitionClient rekClient = RekognitionClient.builder().region(region).build();
SqsClient sqs = SqsClient.builder().region(Region.US_EAST_1).build();
NotificationChannel channel = NotificationChannel.builder().snsTopicArn(topicArn).roleArn(roleArn).build();
startLabels(rekClient, channel, bucket, video);
getLabelJob(rekClient, sqs, queueUrl);
System.out.println("This example is done!");
sqs.close();
rekClient.close();
}
use of software.amazon.awssdk.services.rekognition.model.NotificationChannel in project aws-doc-sdk-examples by awsdocs.
the class VideoDetectInappropriate method main.
public static void main(String[] args) {
final String USAGE = "\n" + "Usage: " + " <bucket> <video> <topicArn> <roleArn>\n\n" + "Where:\n" + " bucket - the name of the bucket in which the video is located (for example, (for example, myBucket). \n\n" + " video - the name of video (for example, people.mp4). \n\n" + " topicArn - the ARN of the Amazon Simple Notification Service (Amazon SNS) topic. \n\n" + " roleArn - the ARN of the AWS Identity and Access Management (IAM) role to use. \n\n";
if (args.length != 4) {
System.out.println(USAGE);
System.exit(1);
}
String bucket = args[0];
String video = args[1];
String topicArn = args[2];
String roleArn = args[3];
Region region = Region.US_EAST_1;
RekognitionClient rekClient = RekognitionClient.builder().region(region).build();
NotificationChannel channel = NotificationChannel.builder().snsTopicArn(topicArn).roleArn(roleArn).build();
startModerationDetection(rekClient, channel, bucket, video);
GetModResults(rekClient);
System.out.println("This example is done!");
rekClient.close();
}
use of software.amazon.awssdk.services.rekognition.model.NotificationChannel in project aws-doc-sdk-examples by awsdocs.
the class VideoDetectText method main.
public static void main(String[] args) {
final String USAGE = "\n" + "Usage: " + " <bucket> <video> <topicArn> <roleArn>\n\n" + "Where:\n" + " bucket - the name of the bucket in which the video is located (for example, (for example, myBucket). \n\n" + " video - the name of video (for example, people.mp4). \n\n" + " topicArn - the ARN of the Amazon Simple Notification Service (Amazon SNS) topic. \n\n" + " roleArn - the ARN of the AWS Identity and Access Management (IAM) role to use. \n\n";
if (args.length != 4) {
System.out.println(USAGE);
System.exit(1);
}
String bucket = args[0];
String video = args[1];
String topicArn = args[2];
String roleArn = args[3];
Region region = Region.US_EAST_1;
RekognitionClient rekClient = RekognitionClient.builder().region(region).build();
NotificationChannel channel = NotificationChannel.builder().snsTopicArn(topicArn).roleArn(roleArn).build();
startTextLabels(rekClient, channel, bucket, video);
GetTextResults(rekClient);
System.out.println("This example is done!");
rekClient.close();
}
Aggregations