Examples with Video software.amazon.awssdk.services.rekognition.model.Video used on opensource projects

Example 1 with Video

use of software.amazon.awssdk.services.rekognition.model.Video in project aws-doc-sdk-examples by awsdocs.

the class VideoCelebrityDetection method StartCelebrityDetection.

// snippet-start:[rekognition.java2.recognize_video_celebrity.main]
public static void StartCelebrityDetection(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();
        StartCelebrityRecognitionRequest recognitionRequest = StartCelebrityRecognitionRequest.builder().jobTag("Celebrities").notificationChannel(channel).video(vidOb).build();
        StartCelebrityRecognitionResponse startCelebrityRecognitionResult = rekClient.startCelebrityRecognition(recognitionRequest);
        startJobId = startCelebrityRecognitionResult.jobId();
    } catch (RekognitionException e) {
        System.out.println(e.getMessage());
        System.exit(1);
    }
}

Example 2 with Video

use of software.amazon.awssdk.services.rekognition.model.Video in project aws-doc-sdk-examples by awsdocs.

the class VideoDetect method startLabels.

// snippet-start:[rekognition.java2.recognize_video_detect.main]
public static void startLabels(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();
        StartLabelDetectionRequest labelDetectionRequest = StartLabelDetectionRequest.builder().jobTag("DetectingLabels").notificationChannel(channel).video(vidOb).minConfidence(50F).build();
        StartLabelDetectionResponse labelDetectionResponse = rekClient.startLabelDetection(labelDetectionRequest);
        startJobId = labelDetectionResponse.jobId();
        boolean ans = true;
        String status = "";
        int yy = 0;
        while (ans) {
            GetLabelDetectionRequest detectionRequest = GetLabelDetectionRequest.builder().jobId(startJobId).maxResults(10).build();
            GetLabelDetectionResponse result = rekClient.getLabelDetection(detectionRequest);
            status = result.jobStatusAsString();
            if (status.compareTo("SUCCEEDED") == 0)
                ans = false;
            else
                System.out.println(yy + " status is: " + status);
            Thread.sleep(1000);
            yy++;
        }
        System.out.println(startJobId + " status is: " + status);
    } catch (RekognitionException | InterruptedException e) {
        e.getMessage();
        System.exit(1);
    }
}

Example 3 with Video

use of software.amazon.awssdk.services.rekognition.model.Video in project aws-doc-sdk-examples by awsdocs.

the class VideoDetectText method startTextLabels.

// snippet-start:[rekognition.java2.recognize_video_text.main]
public static void startTextLabels(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();
        StartTextDetectionRequest labelDetectionRequest = StartTextDetectionRequest.builder().jobTag("DetectingLabels").notificationChannel(channel).video(vidOb).build();
        StartTextDetectionResponse labelDetectionResponse = rekClient.startTextDetection(labelDetectionRequest);
        startJobId = labelDetectionResponse.jobId();
    } catch (RekognitionException e) {
        System.out.println(e.getMessage());
        System.exit(1);
    }
}

Example 4 with Video

use of software.amazon.awssdk.services.rekognition.model.Video 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);
    }
}

Example 5 with Video

use of software.amazon.awssdk.services.rekognition.model.Video 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);
    }
}