Amazon web services 如何在Amazon Rekognion中启动流处理器

我遵循AWS Rekognition开发者指南，使用Java中的CreateStreamProcessor编写了一个流处理器

import com.amazonaws.services.rekognition.AmazonRekognition;
import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder;
import com.amazonaws.services.rekognition.model.*;

public class StreamProcessor {
    private String streamProcessorName;
    private String kinesisVideoStreamArn;
    private String kinesisDataStreamArn;
    private String roleArn;
    private String collectionId;
    private float matchThreshold;
    private AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();

public void createStreamProcessor() {
    KinesisVideoStream kinesisVideoStream = new KinesisVideoStream().withArn(kinesisVideoStreamArn);
    StreamProcessorInput streamProcessorInput = new StreamProcessorInput().withKinesisVideoStream(kinesisVideoStream);
    KinesisDataStream kinesisDataStream = new KinesisDataStream().withArn(kinesisDataStreamArn);
    StreamProcessorOutput streamProcessorOutput = new StreamProcessorOutput().withKinesisDataStream(kinesisDataStream);
    FaceSearchSettings faceSearchSettings = new FaceSearchSettings().withCollectionId(collectionId)
            .withFaceMatchThreshold(matchThreshold);
    StreamProcessorSettings streamProcessorSettings = new StreamProcessorSettings().withFaceSearch(faceSearchSettings);
    CreateStreamProcessorResult createStreamProcessorResult = rekognitionClient.createStreamProcessor(
            new CreateStreamProcessorRequest().withInput(streamProcessorInput).withOutput(streamProcessorOutput)
                    .withSettings(streamProcessorSettings).withRoleArn(roleArn).withName(streamProcessorName));
    System.out.println("StreamProcessorArn - " +
            createStreamProcessorResult.getStreamProcessorArn());
}

public void startStreamProcessor() {
    StartStreamProcessorResult startStreamProcessorResult = rekognitionClient.startStreamProcessor(
            new StartStreamProcessorRequest().withName(streamProcessorName));
}

public void stopStreamProcessorSample() {
    StopStreamProcessorResult stopStreamProcessorResult = rekognitionClient.stopStreamProcessor(
            new StopStreamProcessorRequest().withName(streamProcessorName));
}

public void deleteStreamProcessorSample() {
    DeleteStreamProcessorResult deleteStreamProcessorResult = rekognitionClient.deleteStreamProcessor(
            new DeleteStreamProcessorRequest().withName(streamProcessorName));
}

public void describeStreamProcessorSample() {
    DescribeStreamProcessorResult describeStreamProcessorResult = rekognitionClient.describeStreamProcessor(
            new DescribeStreamProcessorRequest().withName(streamProcessorName));
    System.out.println("Arn - " + describeStreamProcessorResult.getStreamProcessorArn());
    System.out.println("Input kinesisVideo stream - " + describeStreamProcessorResult.getInput()
            .getKinesisVideoStream().getArn());
    System.out.println("Output kinesisData stream - " + describeStreamProcessorResult.getOutput()
            .getKinesisDataStream().getArn());
    System.out.println("RoleArn - " + describeStreamProcessorResult.getRoleArn());
    System.out.println("CollectionId - " + describeStreamProcessorResult.getSettings().getFaceSearch()
            .getCollectionId());
    System.out.println("Status - " + describeStreamProcessorResult.getStatus());
    System.out.println("Status message - " + describeStreamProcessorResult.getStatusMessage());
    System.out.println("Creation timestamp - " + describeStreamProcessorResult.getCreationTimestamp());
    System.out.println("Last updatClient rekognitionClient = new AmazonRekognitionClient()e timestamp - "
            + describeStreamProcessorResult.getLastUpdateTimestamp());
}

public void listStreamProcessorSample() {
    ListStreamProcessorsResult listStreamProcessorsResult = rekognitionClient.listStreamProcessors(
            new ListStreamProcessorsRequest().withMaxResults(100));
    for (com.amazonaws.services.rekognition.model.StreamProcessor streamProcessor :
            listStreamProcessorsResult.getStreamProcessors()) {
        System.out.println("StreamProcessor name - " + streamProcessor.getName());
        System.out.println("Status - " + streamProcessor.getStatus());
    }
}

}

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但我不知道如何启动流处理器？我是否必须简单地编写main方法并调用createStreamProcessor函数？或者我必须做些别的事情：就像指南中提到的StartStreamProcessor一样？

是的，您必须使用以下API启动流预处理器：

rekognitionClient.startStreamProcessor(name= "my-stream-1")